20722 Github Jobs - Page 23

About Blackhawk Network: Today, through BHN’s single global platform, businesses of all kinds can tap into the world’s largest network of branded payment solutions. BHN helps businesses grow revenue, increase loyalty, motivate and reward their teams, disburse funds and engage consumers. Branded payment solutions include the issuance and distribution of gift cards, egifts, corporate payouts and rewards, along with the technology to deliver these products in seamless, integrated ways. BHN’s network spans the globe with more than 400,000 consumer touchpoints. Learn more at BHN.com. Overview: As an Engineering Manager, your time will be split by 30% on people management and about 70% as a lead developer. You will collaborate with the senior engineering management team, product management and other cross-functional management to ensure high quality integrated software solutions in a fast-paced, Agile environment. As a technology leader within Blackhawk, you will have the opportunity to work across the organization helping to align the software development technology vision. You will maintain awareness of changes in techniques, tools and frameworks, and help influence their usage in a pragmatic way to improve the team's productivity. Responsibilities: Lead and mentor a team of software engineers to deliver high-quality, scalable, and secure backend systems using Java and JBoss. Provide technical leadership in designing and implementing cloud-native applications leveraging AWS services such as Lambda, EC2, S3, RDS, ECS, and CloudFormation. Oversee the design, development, and optimization of CI/CD pipelines using Jenkins, GitHub Actions, or AWS Code Pipeline to enable seamless code integration and deployment. Collaborate with cross-functional teams including product, QA, DevOps, and architecture to drive project execution and ensure alignment with business goals. Champion best practices in software development, including code reviews, automated testing, observability, and performance tuning. Ensure adherence to security, compliance, and operational standards across services and deployments. Drive sprint planning, backlog grooming, and agile ceremonies while fostering a culture of accountability, continuous improvement, and innovation. Act as an escalation point for technical issues and provide hands-on guidance to resolve blockers and architectural decisions. Monitor and report on team performance, productivity, and delivery timelines to stakeholders and leadership. Support the hiring, onboarding, and career development of engineering team members. Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 7+ years of professional software development experience, including 2+ years in an engineering leadership or management role. Strong expertise in Java application development and deployment in enterprise environments. Proven experience designing and operating applications in AWS, with a solid grasp of key services and infrastructure components. Deep understanding of CI/CD pipelines, automation, and tools such as Jenkins, Git, and related DevOps workflows. Familiarity with RESTful API design, microservices architecture, and performance optimization strategies. Demonstrated ability to lead engineering teams through complex projects and deliver high-impact solutions. Excellent communication and interpersonal skills, with the ability to collaborate effectively across globally distributed teams. Experience with agile development methodologies and project tracking tools like JIRA. Passion for mentoring engineers, growing talent, and building a high-performance engineering culture.

Company Size Startup / Small Enterprise Experience Required 3 - 7 years Working Days 5 days/week Office Location Remote Working Role & Responsibilities You will be working with the Rust compiler and will be responsible for compiling to alternate targets such as WebAssembly You will be exposed with TDD for unit testing individual functions and integration testing for testing publicly exposed APIs Working with a Git style workflow where every commit deploys to a stagingenvironment and merged pull requests deploy to production Setting up CI/CD pipelines for testing and deployment (canary, staging) using Github actionsaccording to project needs Developing software in Rust Maintaining and improving existing rust codebases. Ideal Candidate Excited about working with Rust 4 -7 years of experience in shipping production applications B.Tech in Computer Science Engineering from Tier 1 Colleges only Entrepreneurial mindset with strong decision-making skills Ability to move quickly without breaking things too much (we are dreamers) Ability to work under immense pressure which is balanced by a sense of responsibility and ownership Skills: tdd,webassembly,git,rust,github actions,github,ci,decision-making,enterprise,ci/cd,cd

Assoicate AIML Engineer– Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. The Brief In this role as an Associate AIML Engineer on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyse data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modelling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions. What I'll be doing – your accountabilities? Build and maintain machine learning models for various applications, such as natural language processing, computer vision, and recommendation systems Perform exploratory data analysis (EDA) to identify patterns and trends in data Clean, preprocess, perform hyperparameter tuning and analyze large datasets to prepare them for AI/ML model training Build, test, and optimize machine learning models and experiment with algorithms and frameworks to improve model performance Use programming languages, machine learning frameworks and libraries, algorithms, data structures, statistics and databases to optimize and fine-tune machine learning models to ensure scalability and efficiency Learn to define user requirements and align solutions with business needs Work on AI/ML engineering projects, perform feature engineering and collaborate with teams to understand business problems Learn best practices in data / AI/ML engineering and performance optimization Contribute to research papers and technical documentation Contribute to project documentation and maintain data quality standards Foundational Skills Understands Programming skills beyond the fundamentals and can demonstrate this skill in most situations without guidance. Understands the below skills beyond the fundamentals and can demonstrate in most situations without guidance AI & Machine Learning Data Analysis Machine Learning Pipelines Model Deployment Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance for the following skills: Deep Learning Statistical Analysis Data Engineering Big Data Technologies Natural Language Processing (NPL) Data Architecture Data Processing Frameworks Proficiency in Python programming. Proficiency in Python-based statistical analysis and data visualization tool While having limited understanding of Technical Documentation but are focused on growing this skill Qualifications & Requirements BSc/MSc/PhD in computer science, data science or related discipline with 1+ years of industry experience building cloud-based ML solutions for production at scale, including solution architecture and solution design experience Good problem solving skills, for both technical and non-technical domains Good broad understanding of ML and statistics covering standard ML for regression and classification, forecasting and time-series modeling, deep learning 3+ years of hands-on experience building ML solutions in Python, incl knowledge of common python data science libraries (e.g. scikit-learn, PyTorch, etc) Hands-on experience building end-to-end data products based on AI/ML technologies Some experience with scenario simulations. Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD Team player, eager to collaborate and good collaborator Preferred Experiences In addition to basic qualifications, would be great if you have… Hands-on experience with common OR solvers such as Gurobi Experience with a common dashboarding technology (we use PowerBI) or web-based frontend such as Dash, Streamlit, etc. Experience working in cross-functional product engineering teams following agile development methodologies (scrum/Kanban/…) Experience with Spark and distributed computing Strong hands-on experience with MLOps solutions, including open-source solutions. Experience with cloud-based orchestration technologies, e.g. Airflow, KubeFlow, etc Experience with containerization (Kubernetes & Docker) As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

CI/CD Release Automation DevOps Engineer - Assistant Vice President is an intermediate level position responsible for a variety of engineering activities including the design, acquisition and development of hardware, software and network infrastructure in coordination with the Technology team. The overall objective of this role is to ensure quality standards are being met within existing and planned frameworks. Responsibilities: Engineer and release functionalities in the Application Release Automation area for various technologies including Public Cloud, Private Cloud and traditional products. Interact with product vendors and responsible for packaging new releases/patches with new features or bug-fixes Maintain Highly scalable infrastructure that manages concurrent releases for different applications across regions Qualifications: About 8-12 years of relevant experience in CICI Release Automation DevOps Engineering Experience working in Financial Services or a large complex and/or global environment Project Management experience Consistently demonstrates clear and concise written and verbal communication Comprehensive knowledge of design metrics, analytics tools, benchmarking activities and related reporting to identify best practices Demonstrated analytic/diagnostic skills Ability to work in a matrix environment and partner with virtual teams Ability to work independently, prioritize, and take ownership of various parts of a project or initiative Ability to work under pressure and manage to tight deadlines or unexpected changes in expectations or requirements Proven track record of operational process change and improvement Skills & Core Role Competencie s: Cloud Technologies: Open Shift, Docker, AWS, GCP CI/CD, Automation Tools: Harness, Jenkins, Tekton, Terraform, Gitlab, Ansible Tower Languages/Scripting: JAVA, Springboot, React, SQL, Shell Scripting, Python Version Control/SCM: GitHub, BitBucket, TFS, Artifactory, Nexus Web/Application Servers : Tomcat, NGINX, NODE.JS Databases: Oracle, MSSQL, MongoDB Monitoring Tools: AppDynamics, Splunk, ELK Operating Systems: Windows and Linux variants Other Tools: JIRA, ServiceNow, Confluence, APIM, Hashicorp Vault Education: Bachelor’s degree/University degree or equivalent experience This is a Senior Engineering Analyst role responsible in taking ownership of the milestones in the Application Release Automation area as we implement organizational outcomes such as strategic tools adoption with simplified pipelines. The role requires enablement of several key responsible in several product features such as GitOps, FeatureFlags coming from the vendor to meet timelines for Public Cloud team to ensure governance in the release process. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Systems & Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

About ISOCRATES iSOCRATES advises on, builds, manages, and owns mission-critical Marketing, Advertising and Data platforms, technologies, and processes as the Global Leader in MADTech Resource Planning and Execution™ serving publishers, marketers, agencies and enablers. iSOCRATES has two lines of business: Products (MADTechAI™) and Services (Consulting: Strategy and Operations; Managed Services). MADTechAI is the Unified Marketing, Advertising and Data Decision Intelligence Platform. Purpose-built to Deliver Speed to Value serving B2C and B2B marketers, agencies, publishers, and their enablers. iSOCRATES is staffed 24/7/365 with its own proven specialists who save partners money, time, and achieve transparent, accountable performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. The company is headquartered in Saint Petersburg, Florida, U.S.A. with its global delivery centers in Mysuru and Bengaluru, Karnataka, India. Job Description MADTECH.AI is your Marketing Decision Intelligence platform. Unify, transform, analyze, and visualize all your data in a single, cost-effective AI-powered hub. Gain speed to value by leaving data wrangling, model building, data visualization, and proactive problem solving to MADTECH.AI. Sharper insights, smarter decisions, faster. MADTECH.AI was spun out of well-established Inc. 5000 consultancy iSOCRATES® which advises on, builds, manages, and owns mission-critical Marketing, Advertising and Data platforms, technologies and processes as the Global Leader in MADTECH Resource Planning and Execution™ serving marketers, agencies, publishers, and their data/tech suppliers. Responsibilities Minimum 7+ years of proven working experience with React, Redux, NodeJS and TypeScript. Strong understanding of frontend features and their practical implementation. Design, build, and integrate dashboards with SaaS products. Create responsive, user-friendly interfaces using frameworks such as Bootstrap. Involvement in performance optimization and security-related tasks in the front end and back end. Integrate APIs seamlessly into the application for dynamic functionality. Responsiveness of the application using Bootstrap, Material. Knowledge of CI/CD pipelines for efficient deployment. Implement robust unit tests using Jest to ensure code quality and maintainability. Version Control System: GitHub, Git Strong proficiency in MongoDB and PostgreSQL. Troubleshoot, debug, and upgrade existing systems to enhance functionality and performance. Good To Have Experience with programming languages like Python or Kotlin. Knowledge of AWS services such as RDS, Redshift, and tools like Airbyte and Airflow. Hands-on experience with BI tools like Superset or AWS QuickSight. Exposure to digital marketing data integrations and analytics. Prior experience with microservices architecture and containerization tools like Docker and Kubernetes. Minimum Education Required Bachelor’s degree in Computer Science, or related quantitative field required (master’s degree in business administration preferred).

Senior AI/ML Scientist(IC) – Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief In this role as an AI/ML Scientist on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. You should be able to design, develop, and implement machine learning models, conduct deep data analysis, and support decision-making with data-driven insights. Responsibilities include building and validating predictive models, supporting experiment design, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems. The role requires solving complex problems using NLP, deep learning, optimization, and computer vision. You should be comfortable working independently, writing reliable code with automated tests, and contributing to debugging and refinement. You’ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI/ML solutions that align with business objectives and user needs. What I'll be doing – your accountabilities? Independently design and develop scalable AI/ML solutions using advanced design patterns, models and algorithms to analyse complex datasets and generate actionable insights Collaborate with stakeholders to translate business needs into AI/ML solutions, evaluate user journeys and challenge business requirements to ensure seamless, value driven delivery and integration of solutions Apply innovative problem-solving techniques, leveraging advanced methodologies to find unique approaches to complex problems and improve outcomes Investigate and resolve complex challenges in data pipelines, modelling, and deployment to ensure reliable solutions that meet performance benchmarks Mentor team members through code reviews, model validations, pairing sessions, and knowledge-sharing sessions, and contribute to Communities of Practice Effectively communicate modelling, infrastructure, and deployment choices to both technical and non-technical stakeholders Maintain detailed, impactful documentation, covering methodologies, data pipelines, model performance, and key design decisions to enable reproducibility and scalability Ensure readiness for production releases, focusing on testing, monitoring, observability, and maintaining scalability and reusability of models for future projects Drive cross-team and cross-discipline initiatives to optimize workflows, remove redundant applications and processes, share best practices, and enhance collaboration between teams Demonstrate awareness of shared platform capabilities and actively identify opportunities to leverage them in designing efficient and scalable AI/ML solutions Foundational Skills Mastered Data Analysis, Data Science and and AI & Machine Learning concepts and can demonstrate this skill in complex scenarios Programming and Statistical Analysis Skills beyond the fundamentals and can demonstrate the skills in most situations without guidance. Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance: Data Validation and Testing Model Deployment Machine Learning Pipelines Deep Learning Natural Language Processing (NPL) Optimization & Scientific Computing Decision Modelling and Risk Analysis. Technical Documentation Qualifications & Requirements Bachelor's degree in B.E/BTech, preferably in computer science Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions) Communicate effectively with technical and non-technical audiences with experience in stakeholder management Structured, highly analytical mind-set and excellent problem-solving skills; Self-starter, highly motivated & Willing to share knowledge and work as a team. An individual who respects the opinion of others; yet can drive a decision though the team; Preferred Experiences 8+ years of years of relevant experience in the field of Data Engineering 5+ years of hands-on experience with Apache Spark, Python and SQL Experience working with large datasets and big data technologies to train and evaluate machine learning models. Experience with containerization: Kubernetes & Docker Expertise in building cloud native applications and data pipelines (Azure, Databricks, AWS, GCP) C Experience with common dashboarding and API technologies (PowerBI, Superset, Flask, FastAPI, etc As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Ideal candidate: If you are an iOS developer with a passion for pushing mobile technologies to the limits. You will work with our team of talented engineers to design and build the next generation of our mobile ecosystem. You are comfortable working on our existing codebase, developing new apps and optimizing them for a fast and delightful user experience. Roles & Responsibilities: Designing and building advanced mobile features and custom UI Collaborating with cross-functional teams to define, design, and ship new features Optimizing the app for speed, memory, network and battery. Keeping the app stable and secure at all times Continuously discovering, evaluating, and implementing new technologies to maximize -development efficiency Unit-testing code for robustness, including edge cases, usability, and general reliability Skills & Experience Required: Having 5-9 yrs of experience in IOS Development Having experience in Swift You have a Bachelors / master’s degree in computer science / engineering or a related subject You have a solid understanding of the full lifecycle of mobile development, testing, publishing and devops You have a good knowledge of networks and distributed systems Your attention to detail is the stuff of legends (Every second, byte and pixel counts) You enjoy working with a small, fast-paced team willing to jump on tasks (planned / out of nowhere / ambiguous), without spilling your coffee You are equal parts left and right brain - you focus on the tech and logic as much as you are obsessed with the UX and customer delight You are looking to restore balance to the universe through clean code You are a flawless multi-tasker, able to smoothly transition between features, bugs, projects and languages You have complete expertise in the general mobile landscape, design, trends, and emerging technologies You have experience working with iOS third-party libraries and APIs Bonus Points: You have experience in Android app development You have developed apps on Flutter / React Native You are popular on StackOverflow for answering challenging questions Your GitHub profile showcases a list of original contributions

Lead Test Engineer.docx Dear Job Aspirant, We wish to connect with you for below position of Lead Test Engineer Designation: Lead Test Engineer Qualification: B.E -Electronics/E&TC/Computer Location: Pune Experience: 7+ years Founded in 1999, Softdel (a UNIDEL company) connects devices, enterprises, and people. Our distinctiveness lies in simplifying enterprise connectedness in smart buildings and smart factories creating unprecedented benefits for our customers and their eco-systems. Headquartered in Stamford, CT, USA, with offices in Japan, and India, we deliver domain expertise and technology-driven solutions to help companies turn digital challenges into opportunities. Our two-decade-long product engineering experience of serving global leaders in the automation & controls industry has catapulted Softdel to an enviable position in the Industrial and Buildings IoT value chain. For more information, visit www.softdel.com. Follow on LinkedIn and Twitter. Roles And Responsibilities API Automation using tools such as Postman and Rest Assured UI Automation using Selenium and Playwright OpenAPI / Swagger validation and schema checks Solid experience in building automation frameworks from scratch using Python. In-depth knowledge of test automation frameworks, with strong proficiency in Robot Framework. Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions, and GitLab CI. Experience using version control systems, particularly Git. Skilled in generating comprehensive test reports and dashboards using tools like Allure, Extent Reports, or equivalent. Strong understanding of DevOps concepts such as automated builds, and release management. Excellent problem-solving abilities, strong attention to detail, and effective communication skills. Comfortable working in Agile/Scrum environments with cross-functional teams. Collaborate with team members and other stakeholders to understand user requirements and translate them Into Reliable, Intuitive Software Solutions. Essential Skills Experience with performance testing tools such as JMeter. Familiarity with cloud platforms, especially AWS. Awareness of security testing, including network-based or compliance-related validations. Exposure to BDD frameworks such as Cucumber, Behave, or similar. Regards, HR Team - Softdel Systems Email: - careers@softdel.com Website: - www.softdel.com

Ideal candidate: If you are an Android developer with a passion for pushing mobile technologies to the limits. You will work with our team of talented engineers to design and build the next generation of our mobile ecosystem. You are comfortable working on our existing codebase, developing new apps and optimizing them for a fast and delightful user experience. Roles & Responsibilities: Designing and building advanced mobile features and custom UI. Collaborating with cross-functional teams to define, design, and ship new features. Optimizing the app for speed, memory, network and battery. Always keeping the app stable and secure. Continuously discovering, evaluating, and implementing new technologies to maximize development efficiency. Unit-testing code for robustness, including edge cases, usability, and general reliability. Skills & Experience Required: You have 5-9 years of experience in Android Development. You are a software engineer who thinks & speaks in Java/Kotlin. You have a Bachelors / master’s degree in computer science / engineering or a related subject. You have a solid understanding of the full lifecycle of mobile development, testing, publishing and devops. You have a good knowledge of networks and distributed systems. Your attention to detail is the stuff of legends (Every second, byte and pixel counts). You enjoy working with a small, fast paced team willing to jump on tasks (planned / out of nowhere / ambiguous), without spilling your coffee. You are equal parts left and right brain You focus on the tech and logic as much as you are obsessed with the UX and customer delight. You are looking to restore balance to the universe through clean code. You are a flawless multi-tasker, able to smoothly transition between features, bugs, projects and languages. You have complete expertise in the general mobile landscape, design, trends, and emerging technologies. You have experience working with Android frameworks as well as third-party libraries and APIs. Bonus Points: You have experience in iOS app development. You have developed apps on Flutter / React Native. You are popular on Stack Overflow for answering challenging questions. Your GitHub profile showcases a list of original contributions.

Who We Are Simpplr is the AI-powered platform that unifies the digital workplace – bringing together engagement, enablement, and services to transform the employee experience. It streamlines communication, simplifies interactions, automates workflows, and elevates the everyday experience of work. The platform is intuitive, highly extensible, and built to integrate seamlessly with your existing technology. More than 1,000 leading organizations – including AAA, the NHS, Penske, and Moderna – trust Simpplr to foster a more aligned and productive workforce. Headquartered in Silicon Valley with global offices, Simpplr is backed by Norwest Ventures, Sapphire Ventures, Salesforce Ventures, and Tola Capital. Learn more at simpplr.com. Job Title: Quality Engineer (QE) / Software Development Engineer in Test (SDET) Company: Simpplr Overview Simpplr is looking for a Quality Engineer or SDET who sees quality as an integrated part of the engineering process. You will be part of a cross-functional product team, contributing from story grooming to release. Your role will include building test frameworks, validating assumptions early, and ensuring a fast and reliable delivery pipeline. This is a hands-on engineering position focused on building quality into every layer of the stack. Join us in shaping the future of employee experience through a modern intranet platform used by leading enterprises across the globe. What You'll Do Engineer quality across the lifecycle Participate in requirement discussions and define test strategies alongside product managers and developers Influence design and architecture with a quality-first mindset Plan testing early and build the necessary tools and automation to validate continuously Build scalable test systems Design and maintain automation frameworks using Selenium, Cucumber BDD, and JUnit or TestNG Set up pre-merge validations and test environments that mirror production Automate end-to-end flows, component-level tests, and API validations that are fast and reliable Leverage data to drive quality Implement observability and build dashboards to track key quality indicators Collaborate with engineering and product to co-own and act on quality metrics Continuously improve test coverage and reduce escape rates through data-backed insights Integrate with CI/CD workflows Embed tests within GitHub workflows or Jenkins pipelines Create fail-fast mechanisms to catch issues before deployment Champion modern practices like contract testing, test data versioning, and environment stability Collaborate across disciplines Engage in sprint planning, backlog grooming, and technical design discussions Work closely with developers, infrastructure engineers, and data teams Coach junior engineers and help foster a culture of engineering excellence Core Qualifications What We're Looking For 3 to 5 years of experience in quality engineering or SDET roles Strong coding skills in JS, playwright and experience with frameworks like Cucumber BDD, JUnit, or TestNG Hands-on experience for UI testing and tools like Postman, RestAssured, or JMeter for API testing Experience integrating tests into CI/CD pipelines such as GitHub Actions or Jenkins Ability to build test strategies, manage test data, and debug across the full stack Personal attributes Ownership mindset with a focus on proactive problem solving Excellent collaboration and communication skills Comfortable working in fast-paced product environments Bonus points Experience with performance or security testing Exposure to microservices or cloud-native testing approaches Certifications such as ISTQB or agile quality credentials Why This Role is Different At Simpplr, QEs and SDETs are true engineering partners You will be involved from the earliest stages of feature development You will design systems and tools that prevent bugs rather than just detect them You will take shared ownership of quality KPIs alongside developers and product You will help embed quality into every layer of the development process Simpplr’s Hub-Hybrid-Remote Model At Simpplr we believe that when work is good, life is better and that belief guides all we do. Including how we approach our flexible work model. Simpplr operates with a Hub-Hybrid-Remote model. This model is role-based with exceptions and provides employees with the flexibility that many have told us they want. Hub - 100% work from Simpplr office. Role requires Simpplifier to be in the office full-time. Hybrid - Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis. Remote - 100% remote. Role can be done anywhere within your country of hire, as long as the requirements of the role are met.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: · 3+ years of experience in implementing analytical solutions using Palantir Foundry. · · preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale. · · Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry. · · Training: candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually. · · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · · At least 3 years of experience with Foundry services: · · Data Engineering with Contour and Fusion · · Dashboarding, and report development using Quiver (or Reports) · · Application development using Workshop. · · Exposure to Map and Vertex is a plus · · Palantir AIP experience will be a plus · · Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. · · Hands-on experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary. · · Hands-on experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships). · · Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well. · · Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary. · · Experience in MLOps is a plus. · · Experience in developing and managing scalable architecture & working experience in managing large data sets. · · Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus. · · Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus. · · A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview. · · Experience in developing GenAI application is a plus Mandatory skill sets: · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · At least 3 years of experience with Foundry services Preferred skill sets: Palantir Foundry Years of experience required: Experience 4 to 7 years ( 3 + years relevant) Education qualification: Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Science Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Palantir (Software) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Summary Position Summary Engineering Manager (Data & Analytics) – CL5 Role Overview: As an Engineering Manager , you will actively engage in your data engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in managing data engineering teams to deliver solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, advocating engineering excellence, and leading cross-functional teams to design, develop, test, deploy, and operate advanced software solutions. Key Responsibilities: Embrace and drive a culture of accountability for customer and business outcomes. Lead data engineering teams to deliver solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Serve as the technical advocate for data products and data engineering teams, promoting and supporting evolutionary releases (e.g., alpha, beta, MVP).Ensure proper planning, code integrity, quality, alignment with customer goals, architecture designs, and NFRs. Possess passion and experience as an individual contributor, responsible for fostering a culture of engineering excellence within the team, being hands-on with design, configuration and/or code part of the time, contributing to team velocity. Work daily with the data engineering teams to resolve any issues, blockers, or impediments, perform code reviews and optimizations, maintain coding standards compliance, and ensure that technical debt is addressed continuously within sprints to achieve comprehensive quality. Be self-driven to learn new technologies, experiment with engineers, and inspire the teams to learn and drive application of those new technologies. Mentor and coach product engineering team to cultivate and nurture strong masters of crafts with passion towards product outcomes. Lead data engineering teams to develop lean solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right solution for the product in the right way at the right time. Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Possess deep expertise in modern software engineering practices and principles, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning. Quickly acquire domain-specific knowledge relevant to the business or product. Translate business and user needs into engineering plans (e.g., sprint plans, enables, tasks, priorities). Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals. Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives. Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The Team US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Qualifications A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Excellent software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data-structures, algorithms, code instrumentations, etc. 10+ years proven experience with industry-leading business intelligence tools like Tableau, SAP BOE, Power BI and Qlik (including add-on products for data and server management). 5+ years of experience with cloud-native data and analytics platforms on Azure, AWS or GCP. 3+ years of experience with AI/ML and GenAI is preferred. Deep understanding of methodologies & tools like XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. Strong SQL skills with experience in stored procedures, triggers, functions, and designing tables/views; proficiency with advanced MS Excel (including PivotTables), Word, and PowerPoint. Experience with ETL tools (e.g., Alteryx, Informatica, SAP SLT, SAP BODS) and working with both structured and unstructured data; familiarity with R/Python for data preparation and integration is a plus. Ability to align technology solutions with business objectives, maintaining a constant awareness of project milestones, client needs, and long-term strategic goals. How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do. Location : Bengaluru Shift timing – 11AM to 8PM #CAL-BMT #CA-SK #CAP-PD #CA-SG1 Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 307590

Job Title: Development Lead - WinfoTest Location: Bangalore / Hyderabad Job Type: Full-Time Job Summary: We are looking for a highly skilled and experienced Senior Full-stack Developer / Development Lead with a strong background in SaaS and web application development. The ideal candidate will have extensive experience in leading development teams, managing projects, and delivering high-quality software solutions. This role requires excellent communication skills, the ability to meet project timelines, and the capability to prioritize deliverables effectively. Key Responsibilities Team Leadership: Lead and manage a team of developers, providing guidance, support, and mentorship to ensure high performance and professional growth. Development Management: Oversee the planning, execution, and delivery of development projects. Ensure the team adheres to best practices and industry standards. Project Delivery: Manage project timelines, ensuring deliverables are completed on time and within scope. Coordinate with cross-functional teams to achieve project goals. Technical Expertise: Possess in-depth knowledge of various programming languages, frameworks, and tools required for fullstack development. SaaS and Web Application Development: Design, develop, and maintain SaaS and web applications using modern technologies and frameworks. Version Control: Utilize version control systems like Git and GitHub to manage code repositories and collaborate with the team. Security: Implement and maintain security measures such as Basic Authentication, OAuth 2.0, and JWT to protect applications. Product Roadmap: Contribute to the development and maintenance of the product roadmap, ensuring alignment with business goals and customer needs. Quarterly Release Plan: Develop and manage quarterly release plans, coordinating with stakeholders to ensure timely and successful releases. Technology Updates/Changes: Stay updated with the latest technology trends and advancements. Evaluate and implement new technologies and tools to enhance the development process. Communication: Maintain clear and effective communication with the leadership team, providing regular updates on project status, risks, and issues. Prioritization: Prioritize tasks and deliverables based on project requirements and deadlines. Ensure the team is focused on high-impact activities. Required Skills And Qualifications Languages/Frameworks: Proficiency in Java, JavaScript, HTML, CSS, React/Angular, and REST APIs. Databases: Experience with Oracle DB or MySQL. Version Control: Proficiency in Git and GitHub. Security: Knowledge of Basic Authentication, OAuth 2.0, and JWT. Experience: Minimum of 5 years of experience in a similar role, with a proven track record of leading and managing development teams. Education: Bachelor’s degree in computer science, Information Technology, or a related field. Advanced certifications in development or project management are a plus. Communication: Excellent verbal and written communication skills. Ability to communicate effectively with both technical and non-technical stakeholders. Good To Have DevOps: Experience with CI/CD, Docker, Jenkins, and cloud platforms (AWS, GCP). Testing: Knowledge of Junit or TestNG, Swagger, Postman, and Selenium. Attributes: Strong problem-solving skills, attention to detail, and a proactive attitude towards challenges and continuous improvement.

Summary Position Summary Engineering Manager (Data & Analytics) – CL5 Role Overview: As an Engineering Manager , you will actively engage in your data engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in managing data engineering teams to deliver solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, advocating engineering excellence, and leading cross-functional teams to design, develop, test, deploy, and operate advanced software solutions. Key Responsibilities: Embrace and drive a culture of accountability for customer and business outcomes. Lead data engineering teams to deliver solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Serve as the technical advocate for data products and data engineering teams, promoting and supporting evolutionary releases (e.g., alpha, beta, MVP).Ensure proper planning, code integrity, quality, alignment with customer goals, architecture designs, and NFRs. Possess passion and experience as an individual contributor, responsible for fostering a culture of engineering excellence within the team, being hands-on with design, configuration and/or code part of the time, contributing to team velocity. Work daily with the data engineering teams to resolve any issues, blockers, or impediments, perform code reviews and optimizations, maintain coding standards compliance, and ensure that technical debt is addressed continuously within sprints to achieve comprehensive quality. Be self-driven to learn new technologies, experiment with engineers, and inspire the teams to learn and drive application of those new technologies. Mentor and coach product engineering team to cultivate and nurture strong masters of crafts with passion towards product outcomes. Lead data engineering teams to develop lean solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right solution for the product in the right way at the right time. Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Possess deep expertise in modern software engineering practices and principles, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning. Quickly acquire domain-specific knowledge relevant to the business or product. Translate business and user needs into engineering plans (e.g., sprint plans, enables, tasks, priorities). Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals. Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives. Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The Team US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Qualifications A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Excellent software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data-structures, algorithms, code instrumentations, etc. 10+ years proven experience with industry-leading business intelligence tools like Tableau, SAP BOE, Power BI and Qlik (including add-on products for data and server management). 5+ years of experience with cloud-native data and analytics platforms on Azure, AWS or GCP. 3+ years of experience with AI/ML and GenAI is preferred. Deep understanding of methodologies & tools like XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. Strong SQL skills with experience in stored procedures, triggers, functions, and designing tables/views; proficiency with advanced MS Excel (including PivotTables), Word, and PowerPoint. Experience with ETL tools (e.g., Alteryx, Informatica, SAP SLT, SAP BODS) and working with both structured and unstructured data; familiarity with R/Python for data preparation and integration is a plus. Ability to align technology solutions with business objectives, maintaining a constant awareness of project milestones, client needs, and long-term strategic goals. How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do. Location : Bengaluru Shift timing – 11AM to 8PM #CAL-BMT #CA-SK #CAP-PD #CA-SG1 Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 307590

Role & responsibilities We are looking for an experienced Cloud Engineer with a strong foundation in cloud infrastructure, DevOps, monitoring, and cost optimization. The ideal candidate will be responsible for designing scalable architectures, implementing CI/CD pipelines, and managing secure and efficient cloud environments using AWS, GCP, or Azure. Key Responsibilities : - Design and deploy scalable, secure, and cost-optimized infrastructure across cloud platforms (AWS, GCP, or Azure) - Implement and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or GitHub Actions - Set up infrastructure monitoring, alerting, and logging systems (e.g., CloudWatch, Prometheus, Grafana) - Collaborate with development and architecture teams to implement cloud-native solutions - Manage infrastructure security, IAM policies, backups, and disaster recovery strategies - Drive cloud cost control initiatives and resource optimization - Troubleshoot production and staging issues related to infrastructure and deployments Requirements Must-Have Skills: - 5-7 years of experience working with cloud platforms (AWS, GCP, or Azure) - Strong hands-on experience in infrastructure provisioning and automation - Expertise in DevOps tools and practices, especially CI/CD pipelines - Good understanding of network configurations, VPCs, firewalls, IAM, and security best practices - Experience with monitoring and log aggregation tools - Solid knowledge of Linux system administration - Familiarity with Git and version control workflows Good to Have: - Experience with Infrastructure as Code tools (Terraform, CloudFormation, Pulumi) - Working knowledge of Kubernetes or other container orchestration platforms (EKS, GKE, AKS) - Exposure to scripting languages like Python, Bash, or PowerShell - Familiarity with serverless architecture and event-driven designs - Awareness of cloud compliance and governance frameworks Preferred candidate profile

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AWS Professionals in the following areas : AWS Data Engineer JD As Below Primary skillsets :AWS services including Glue, Pyspark, SQL, Databricks, Python Secondary skillset- Any ETL Tool, Github, DevOPs(CI-CD) Experience: 3-4yrs Degree in computer science, engineering, or similar fields Mandatory Skill Set: Python, PySpark , SQL, AWS with Designing , developing, testing and supporting data pipelines and applications. 3+ years working experience in data integration and pipeline development. 3+ years of Experience with AWS Cloud on data integration with a mix of Apache Spark, Glue, Kafka, Kinesis, and Lambda in S3 Redshift, RDS, MongoDB/DynamoDB ecosystems Databricks, Redshift experience is a major plus. 3+ years of experience using SQL in related development of data warehouse projects/applications (Oracle & amp; SQL Server) Strong real-life experience in python development especially in PySpark in AWS Cloud environment Strong SQL and NoSQL databases like MySQL, Postgres, DynamoDB, Elasticsearch Workflow management tools like Airflow AWS cloud services: RDS, AWS Lambda, AWS Glue, AWS Athena, EMR (equivalent tools in the GCP stack will also suffice) Good to Have : Snowflake, Palantir Foundry At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Job Description: Job Title: Databricks Infrastructure Engineer Location: Hyderabad/Bengaluru Job Summary: We are looking for a skilled Databricks Infrastructure Engineer to design, build, and manage the cloud infrastructure that supports Databricks development efforts. This role will focus on creating and maintaining scalable, secure, and automated infrastructure environments using Terraform and other Infrastructure-as-Code (IaC) tools. The infrastructure will enable data engineers and developers to efficiently create notebooks, pipelines, and ingest data following the Medallion architecture (Bronze, Silver, Gold layers). The ideal candidate will have strong cloud engineering skills, deep knowledge of Terraform, and hands-on experience with Databricks platform provisioning. Key Responsibilities: Infrastructure Design & Provisioning: Design and implement scalable and secure infrastructure environments to support Databricks workloads aligned with the Medallion architecture. Develop and maintain Infrastructure-as-Code (IaC) scripts and templates using Terraform and/or ARM templates for provisioning Databricks workspaces, clusters, storage accounts, networking, and related Azure resources. Automate the setup of data ingestion pipelines, storage layers (Bronze, Silver, Gold), and access controls necessary for smooth data operations. Platform Automation & Optimization: Create automated deployment pipelines integrated with CI/CD tools (e.g., Azure DevOps, Jenkins) to ensure repeatable and consistent infrastructure provisioning. Optimize infrastructure configurations to balance performance, scalability, security, and cost-effectiveness. Monitor infrastructure health and perform capacity planning to support evolving data workloads. Implement and maintain backup, recovery, and disaster recovery strategies for Databricks environments. Optimize performance of Databricks clusters, jobs, and SQL endpoints. Automate routine administration tasks using scripting and orchestration tools. Troubleshoot platform issues, identify root causes, and implement solutions. Security & Governance: Implement security best practices including network isolation, encryption, identity and access management (IAM), and role-based access control (RBAC) within the infrastructure. Collaborate with governance teams to embed compliance and audit requirements into infrastructure automation. Collaboration & Support: Work closely with data engineers, data scientists, and platform administrators to understand infrastructure requirements and deliver solutions that enable efficient data engineering workflows. Provide documentation and training on infrastructure setup, usage, and best practices. Troubleshoot infrastructure issues and coordinate with cloud and platform support teams for resolution. Stay up to date with Databricks features, releases, and best practices Required Qualifications: 10+ years of experience in Databricks and cloud infrastructure engineering, preferably with Azure Strong hands-on experience writing Infrastructure-as-Code using Terraform; experience with ARM templates or CloudFormation is a plus. Practical knowledge of provisioning and managing Databricks environments and associated cloud resources. Familiarity with Medallion architecture and data lake house concepts. Experience with CI/CD pipeline creation and automation tools such as Azure DevOps, Jenkins, or GitHub Actions. Solid understanding of cloud networking, storage, security, and identity management. Proficiency in scripting languages such as Python, Bash, or PowerShell. Strong collaboration and communication skills to work across cross-functional teams. Preferred Skills: Prior experience working with Databricks platform, including workspace and cluster management. Knowledge of data governance tools and practices. Experience with monitoring and logging tools (e.g., Azure Monitor, CloudWatch). Exposure to containerization and orchestration technologies such as Docker and Kubernetes. Understanding of data ingestion frameworks and pipeline orchestration tools like Apache Airflow or Azure Data Factory. Weekly Hours: 40 Time Type: Regular Location: IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for contributing in project teams, troubleshooting operational issues, providing technical solutions to operational problems, new product implementation, implementing existing products and services and the overall upkeep and maintenance of designated areas of engineering. Acts in compliance with industry and Company technical requirements, standards, policies and procedures. Works with moderate guidance in own area of knowledge. Job Description Position: DevOps Engineer 2 Experience: 2.5 years to 4.5 years Skills: Docker, Kubernetes, Terraform, CICD, Ansible, GIT/GitHub, AWS/GCP, Shell/python. Job Location: Chennai Tamil Nadu Core Responsibilities Ability to troubleshoot and repair all but the most complex issues. Performs maintenance activities with a minimum of supervision and guidance. Leads technical outage bridges and engages appropriate resources to drive issues to closure. Acts as an advocate for Engineering Operations procedures, policies and processes. Ensures projects and initiatives are adhering to Company standards. Tracks and reports operational workflows; maintains records of results and feedback. Analyzes data and metrics, identifies problem areas and provides actionable insight. Acts as a technical resource in projects and initiatives and ensures successful project implementation. Contributes to design considerations for new products or architectural changes to existing products. Analyses problems in design, configuration, data flow and data state within a highly complex multi-product provisioning system. Performs routine maintenance tests for designated areas of engineering and ensures all maintenance is properly validated to minimize impact. Provides training and guidance to less experienced team members. Attains industry standard certifications and education. Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary. Other duties and responsibilities as assigned. Employees At All Levels Are Expected To Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team - make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. Drive results and growth. Respect and promote inclusion & diversity. Do what's right for each other, our customers, investors and our communities. Disclaimer This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 2-5 Years

Job Description As a GCP Data Engineer, you will integrate data from various sources into novel data products. You will build upon existing analytical data, including merging historical data from legacy platforms with data ingested from new platforms. You will also analyze and manipulate large datasets, activating data assets to enable enterprise platforms and analytics within GCP. You will design and implement the transformation and modernization on GCP, creating scalable data pipelines that land data from source applications, integrate into subject areas, and build data marts and products for analytics solutions. You will also conduct deep-dive analysis of Current State Receivables and Originations data in our data warehouse, performing impact analysis related to Ford Credit North America's modernization and providing implementation solutions. Moreover, you will partner closely with our AI, data science, and product teams, developing creative solutions that build the future for Ford Credit. Experience with large-scale solutions and operationalizing data warehouses, data lakes, and analytics platforms on Google Cloud Platform or other cloud environments is a must. We are looking for candidates with a broad set of analytical and technology skills across these areas and who can demonstrate an ability to design the right solutions with the appropriate combination of GCP and 3rd party technologies for deployment on Google Cloud Platform. Responsibilities Design and build production data engineering solutions on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, DataForm, Astronomer, Data Fusion, DataProc, Cloud Composer/Air Flow, Cloud SQL, Compute Engine, Cloud Functions, Cloud Run, Artifact Registry, GCP APIs, Cloud Build, App Engine, and real-time data streaming platforms like Apache Kafka and GCP Pub/Sub. Design new solutions to better serve AI/ML needs. Lead teams to expand our AI-enabled services. Partner with governance teams to tackle key business needs. Collaborate with stakeholders and cross-functional teams to gather and define data requirements and ensure alignment with business objectives. Partner with analytics teams to understand how value is created using data. Partner with central teams to leverage existing solutions to drive future products. Design and implement batch, real-time streaming, scalable, and fault-tolerant solutions for data ingestion, processing, and storage. Create insights into existing data to fuel the creation of new data products. Perform necessary data mapping, impact analysis for changes, root cause analysis, and data lineage activities, documenting information flows. Implement and champion an enterprise data governance model. Actively promote data protection, sharing, reuse, quality, and standards to ensure data integrity and confidentiality. Develop and maintain documentation for data engineering processes, standards, and best practices. Ensure knowledge transfer and ease of system maintenance. Utilize GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures. Provide production support by addressing production issues as per SLAs. Optimize data workflows for performance, reliability, and cost-effectiveness on the GCP infrastructure. Work within an agile product team. Deliver code frequently using Test-Driven Development (TDD), continuous integration, and continuous deployment (CI/CD). Continuously enhance your domain knowledge. Stay current on the latest data engineering practices. Contribute to the company's technical direction while maintaining a customer-centric approach. Qualifications GCP certified Professional Data Engineer Successfully designed and implemented data warehouses and ETL processes for over five years, delivering high-quality data solutions. 5+ years of complex SQL development experience 2+ experience with programming languages such as Python, Java, or Apache Beam. Experienced cloud engineer with 3+ years of GCP expertise, specializing in managing cloud infrastructure and applications to production-scale solutions. In-depth understanding of GCP’s underlying architecture and hands-on experience of crucial GCP services, especially those related to data processing (Batch/Real Time) leveraging Terraform, Big Query, Dataflow, Pub/Sub, Data form, astronomer, Data Fusion, DataProc, Pyspark, Cloud Composer/Air Flow, Cloud SQL, Compute Engine, Cloud Functions, Cloud Run, Cloud build and App Engine, alongside and storage including Cloud Storage DevOps tools such as Tekton, GitHub, Terraform, Docker. Expert in designing, optimizing, and troubleshooting complex data pipelines. Experience developing and deploying microservices architectures leveraging container orchestration frameworks Experience in designing pipelines and architectures for data processing. Passion and self-motivation to develop/experiment/implement state-of-the-art data engineering methods/techniques. Self-directed, work independently with minimal supervision, and adapts to ambiguous environments. Evidence of a proactive problem-solving mindset and willingness to take the initiative. Strong prioritization, collaboration & coordination skills, and ability to simplify and communicate complex ideas with cross-functional teams and all levels of management. Proven ability to juggle multiple responsibilities and competing demands while maintaining a high level of productivity. Master’s degree in computer science, software engineering, information systems, Data Engineering, or a related field. Data engineering or development experience gained in a regulated financial environment. Experience in coaching and mentoring Data Engineers Project management tools like Atlassian JIRA Experience working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment. Experience with data security, governance, and compliance best practices in the cloud. Experience using data science concepts on production datasets to generate insights

Requisition id:1624701 Technology Consulting Title: Specialist III, Cloud Engineer EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization. Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you’ll work with technologists and business experts, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, you’ll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact. EY Technology: Technology has always been at the heart of what we do and deliver at EY. We need technology to keep an organization the size of ours working efficiently. We have 250,000 people in more than 140 countries, all of whom rely on secure technology to be able to do their job every single day. Everything from the laptops we use, to the ability to work remotely on our mobile devices and connecting our people and our clients, to enabling hundreds of internal tools and external solutions delivered to our clients. Technology solutions are integrated in the client services we deliver and is key to us being more innovative as an organization. EY Technology supports our technology needs through three business units: Client Technology (CT) - focuses on developing new technology services for our clients. It enables EY to identify new technology-based opportunities faster and pursue those opportunities more rapidly. Enterprise Workplace Technology (EWT) – EWT supports our Core Business Services functions and will deliver fit-for-purpose technology infrastructure at the cheapest possible cost for quality services. EWT will also support our internal technology needs by focusing on a better user experience. Information Security (Info Sec) - Info Sec prevents, detects, responds and mitigates cyber-risk, protecting EY and client data, and our information management systems. The opportunity This role provides expert level technical support for the most critical projects. Troubleshoots, diagnoses, and resolves hardware or software issues for new and existing technologies and tools.Plans & develop technical standards and documentation, enforces security best practices, supports disaster recovery and collaborates with teams to align cloud solutions with business needs. Your Key Responsibilities Plans and implements new technologies and major releases for the most critical enterprise-wide IT cloud platform projects. Designs, implements, and deploys cloud computing systems to support and meet business needs. Identifies, recommends, and implements opportunities for improvement and performance issue solutions.Provides expert level technical support and ensures reliable operation of cloud production. Diagnoses and troubleshoots the most complex issues for cloud computing systems on multiple platforms. Maintains comprehensive technical knowledge of software and infrastructure platforms.Develops technical standards. Tests and evaluates IT vendor products. Reviews configuration parameters to optimize system performance and maximize operation uptime Elevates code into the development, test, and production environments on schedule. Provides follow up production support. Submits change control requests and documents. Learns and understands client area business functions and requirements. Determines the appropriate technical tool to address the client's business needs. Trains and mentors more junior staff on processes and technologies. Troubleshoots and resolves the most complex issues elevated from staff. Provides guidance and consultation as required. Updates, writes, and maintains documentation for the department. Administers system activities. Writes the technical portion of assigned deliverables. Performs systems analysis, including system requirements analysis and definition, and logical design. Participates in special projects and performs other duties as assigned. Ensure cloud infrastructure security and compliance, including disaster recovery and backup strategies. Monitor and manage hybrid cloud environments and use automation to optimize deployment and scaling. Collaborate with cross-functional teams to design and implement scalable cloud solutions aligned with business needs. Maintain clear and updated documentation on cloud architecture and system configurations. Skills And Attributes For Success A team player with strong analytical, communication and interpersonal skills Constantly updating yourself about new technologies in the market A winning personality and the ability to become a trusted advisor to the stakeholders To qualify for the role, you must have Minimum 8 years of experience in cloud engineering, infrastructure management, or cloud operations. Bachelor’s degree (B.E./B.Tech in Computer Science/IT) or equivalent experience. Hands-on expertise with GitHub, Bitbucket/Bamboo, CI/CD, Pipeline Development, AWS, Cloud Platform Development, Cloud Application Development Experience Tech Lead, being able to informally coach and lead engineers/developers, Scrum/Agile methodologies Strong troubleshooting skills in cloud infrastructure, networking, security best practices, and performance optimization Ideally, you’ll also have Strong verbal and written communication, facilitation, relationship-building, presentation and negotiation skills. Be highly flexible, adaptable, and creative. Comfortable interacting with senior executives (within the firm and at the client) What We Look For Strong teamwork, work ethic, product mindset, client centricity and a relentless commitment to EY values. What Working At EY Offers We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

Microsoft 365 Copilot harnesses the power of generative AI through foundational large language models to usher in a new era of AI-first productivity for hundreds of millions of enterprise users. As business workflows don't typically run exclusively on Microsoft 365 applications and data formats, Copilot is built as a platform right from the very beginning. Using extensibility, customers augment M365 Copilot with AI agents – which leverage custom skills, organizational-specific knowledge and natural language instructions to enable truly spectacular AI scenarios and power connected workflows. M365 Copilot Platform Ecosystem team is designing and building innovative AI agents on the M365 Copilot platform, including agent templates for makers as well as more bespoke solutions with leading customers. As a Product Manager II in the team, you will drive the next wave of agents built using the latest generative AI technology on M365 Copilot’s extensible platform. Working across our engineering teams and with our most strategic customers and partners, you will deliver high-quality, sticky and transformative Copilot agents for use by millions of end-users. This engineering PM role is an excellent opportunity to don both scenario and experience-focused product PM as well as an external-facing solutions PM (Ecosystem PM) hats – at the same time! We are looking for self-motivated, entrepreneurial, hands-on technical and outcome-drive Product Manager candidates who can operate in a fast-paced environment – predicated by rapid change and opportunities birthed out of ambiguity. You will frequently influence internal and customer stakeholders without authority, perform rapid exploration, bring your high sense of ownership and bias for execution to own and drive the vision, strategy and product roadmap for multiple customer and partner-built agents with a responsibility for partner and customer impact, developer experience, adoption growth strategy and business impact/ROI to support the next wave of growth for Copilot agents. You will have a direct role in pushing the latest AI frontiers, including autonomous agents, agentic AI systems, deep research and reasoning, multi-agent frameworks, complex data reasoning, model fine-tuning and agentic UX. The ideal candidate for this role is an experienced "builder" who advocates for generative AI-led transformation. They should be an "agent boss," meaning they regularly utilize generative AI and agents in their daily activities. The candidate should possess a "learn-it-all" mindset rather than a "know-it-all" attitude, and be comfortable navigating the uncertainties associated with transformative, time-sensitive, ROI-driven engagements with customers aiming to become Frontier Firms. This individual must adopt both business- and user-centric approaches to setting objectives, conducting executive-level discussions, aligning stakeholders, managing escalations, planning product roadmaps, and scheduling engagement timelines. They will lead the technical solution development, collaborating with internal M365 Copilot platform engineering teams as well as customers and developers working on our platform. Hands on experience with tools like Replit, Cursor, LangChain, LllamaIndex, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, Lovable, Claude, etc. is a must. This must be demonstrated using real examples of rapid solution prototyping. We operate in a fast-paced environment with rapid exploration, iteration, and execution, as we develop the M365 Copilot extensibility platform to transform how people and companies work using generative AI. Your peers will be among the top professionals in the industry, sharing a strong focus on customer and partner success. This role involves interacting with partners and customers, and occasional travel within and outside the base location is expected. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Work with product managers, developers, UX designers from our most strategic customers across C-suite, architects and developers. Explore the customer problem space and key requirements, pitch the potential of generative AI agents to transform business processes, lead envisioning and UX/technical design through with developers to build, ship and adopt Copilot agents into production. Build POC prototypes to bring customers’ vision to life. Serve as a key subject matter expert on M365 Copilot/Azure AI Foundry/Microsoft AI platform and agent capabilities, architecture; collaborate closely with peers, external partners and customers to train, advise and guide on technical capabilities, solution design and AI platform strategy. Drive key product insights and developer ecosystem signals coming straight from the market to shape the future of the M365 Copilot, help drive backlog prioritization, envisioning and spec’ing of new, innovative extensibility features and our AI extensibility stack inside Microsoft 365 Copilot app, Teams, Outlook, Word, PowerPoint, Excel, Windows and other host products Get exposure to 100s of diverse scenarios working alongside customers & partners using M365 Copilot (Microsoft's biggest bet since 'a PC on every desk') - basically never get bored since no two solutions are alike! Work directly with your feature crew colleagues across M365 Copilot platform engineering to design and deliver innovative extensibility features, including technical envisioning for how Copilot agents will work and interact with other services and applications. Determine adoption strategy for the Copilot agents shipped, unblock adoption, deployment and engagement to realize end-user and business value or ROI among target strategic customers. Develop and drive strategic initiatives to enable “hockey stick” ecosystem growth based on emerging AI agent capabilities, industry trends and strategic partnerships. Research, contextualize and evangelize frontier solutions, technology trends and opportunities to drive longer-term investments and product shifts. Cover multiple regions in the Eastern Hemisphere and work with peer product teams in the Americas and Europe (occasional flexibility around work schedules is expected). Embody our culture and values. Qualifications Required Qualifications: Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development OR equivalent experience. Previous experience with proven success in working on customer-facing technical engagements. Previous experience working in the generative AI domain, strong familiarity with AI fundamentals, LLMs, RAG, GPTs, AI agents, AI cloud services architecture etc. Hands on experience with tools like Replit, Cursor, LangChain, LllamaIndex, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, Lovable, Claude, etc. is a must. Solid executive presence and ability to think analytically and creatively on your feet. The ability to wear many hats and speak many language – from business to product to design to technical – learn quickly and change direction when needed. Experience presenting to senior executives, technical product/IT/BDM staff and end users; able to pivot quickly and adapt messaging to suit audience technical levels and ROI/value requirements. Demonstrated ability of very strong product thinking, technical solutioning, continuous tech upskilling and growth mindset. The ability to think creatively and critically about product features, user journeys and scenarios in the enterprise workflows space. Self-organized, strong project management, growth hacking, leadership and cross-group collaboration skills. Innate curiosity and ability to self-start in an ambiguous, highly autonomous and rapidly changing, new domain with evolving product, technology and customer maturity. Excellent written and verbal communication/presentation skills through all levels of the organization, technical and non-technical. Good problem-solving skills and ability to think strategically on the feet. Ability to hold technical discussions, go deep in technical areas, when required especially in domains of generative AI, LLM technology. Proven ability to build data-driven product experiences, define metrics and use analytics to derive insights to arrive at product & growth decisions. Preferred Qualifications 8+ years of product management experience with proven success in working with enterprise developer partners & customers. Recent experience building and prototyping generative AI-based solutions (RAG, GPT, LLM) and general awareness of the rapidly-evolving AI, especially generative AI landscape. Hands-on expertise with AI agents as a “builder” using low-code/no-code or pro-code tools or technical stacks. Hands-on experience or solid familiarity with the Microsoft technology stack is preferred (M365 Copilot extensibility, AI agents, Azure OpenAI, Azure AI Foundry, Graph Connectors, Microsoft Teams extensibility platform, etc.). #DPG Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Data Science Internship - Bengaluru, Karnataka?Hybrid work Responsibilities: Bachelor??s Degree in a Quantitative discipline . Demonstrable project experience in Data Science/Analytics (Github links preferable) Strong ability to write robust code in Python . Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn, StatsModels) . Proficient in evaluation metrics (MAPE, F1, RMSE, Confusion Matrix) Strong problem-solving skills Excellent verbal and written communication skills You take complete ownership of your work and are self-driven. Benefits: Competitive compensation package. Mentorship from experienced engineers. Opportunity to work on challenging projects. Professional growth and skill development. Inclusive work environment. Health and wellness benefits. Flexible work arrangements.

Job Title: Backend Developer (Rust, Startups) Location: Remote Full time Description: Role & Responsibilities You will be working with the Rust compiler and will be responsible for compiling to alternate targets such as WebAssembly You will be exposed with TDD for unit testing individual functions and integration testing for testing publicly exposed APIs Working with a Git style workflow where every commit deploys to a stagingenvironment and merged pull requests deploy to production Setting up CI/CD pipelines for testing and deployment (canary, staging) using Github actionsaccording to project needs Developing software in Rust Maintaining and improving existing rust codebases. Note - Current CTC Should not be less than 20 LPA CV Attachment is mandatory How many years of rust coding experience you have Do you code in rust daily Have you shipped application to production in rust Are you well versed with tokio, webassembly, leptos and actix Have you contributed in Open source, or articles, patent, given tech presentations, or made an outstanding tech contribution apart from day to day work Please share Github link in resume How much is your CGPA in graduation Reason for job change Provide a brief about the Candidate Background and Work Experience (Minimum 50 Words).Highlight achievement any extraordinary work they have done apart from regular BAU. Thanks & Regards, Nagavendar Reddy IT Recruiter. Bright Star Staffing and Recruitment Services. +91 942 969 3666

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. Department: - Wholesale IT In this role, you will: Use the latest technologies, processes, and tools to deliver frequently, safely, and efficiently Be responsible for translating detailed designs into robust, scalable, and reusable solutions Participate in engineering discipline, best practice, and standards compliance within first direct and global IT Requirements To be successful in this role, you should meet the following requirements: WEB App Development using React.js, Node.js, HTML, CSS, SCSS, js CI/CD - tools such as Jenkins, Git, GitHub, Nexus Experience consuming REST APIs and utilising JSON for WEB Application Build tools: Maven, Webpack etc. It would be useful to be familiar with these tools and methodologies. Agile methodologies – Scrum, Kanban Agile Tooling – Jira, Confluence, Slack Automated Testing tooling and methodologies Accessibility standards and how to develop and test applications to meet them Knowledge is desirable, but not essential in the following: Application Monitoring – Splunk, AppDynamics AWS web hosting services In addition to the details listed above, the ideal candidate will: Be an approachable and supportive team member with a collaborative attitude within a demanding, maturing Agile environment Have experience of working in a large-scale delivery environment, with multiple developers working on a single code base with split deliveries An ability and desire to keep with up with current trends and learn new technologies to develop Full Stack engineering capabilities Be able to communicate effectively – spoken and written – to convey complex technical subject matter clearly, adapting to the audience. You’ll achieve more when you join HSBC. Candidate User Guide - India HTC - IND HSDI : IJP candidate user guide (service-now.com) HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Software Engineer In this role, you will: Strong experience of working in an Agile & DevOps environment including expert knowledge of scrum management tools (e.g. Jira) Demonstrable technical leadership and teamwork skills. A successful track record of delivering complex projects and/or programmes, utilising appropriate techniques and tools to ensure and measure success Experience of delivering solutions that align to approved design patterns and security standards Risk management experience monitors, identifies, and develops action plans to remediate risks Experience of operating in a large scale and highly regulated industry (e.g. financial services) Requirements To be successful in this role, you should meet the following requirements: CI/CD tools such as Jenkins, Git, GitHub, Nexus Databases - Mongo, Dynamo and DocumentDB, Hadoop and familiar with SQL queries Python, Java, Spring Boot, Maven REST APIs / JSON Node JS (Express & NPM) & React (ES6+), Redux Pivotal Cloud Foundry, Mule API Gateway, Docker Cloud Platforms – AWS Cloud Application Monitoring - Splunk / App Dynamics Automation - Test Automation tooling (Selenium, JUnit, Wiremock, Mockito, Jest, Enzyme) and Automated Scripting Large scale networking, load balancing, F5/Bluecoat, proxies, managing ssl certs Agile Methodologies - Scrum, Kanban, Pair Programming, SAFe Agile Tooling - Jira, Confluence, Slack In addition to the details listed above, the ideal candidate will: Be an approachable and supportive team member with a collaborative attitude within a demanding, maturing Agile environment Be able to communicate effectively – spoken and written – to convey complex technical subject matter clearly, adapting to the audience. Knowledge of HSBC and first direct systems will be a distinct advantage.