26718 Gcp Jobs - Page 40

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Years of Experience: Candidates with 15+ years of hands on experience Preferred Skills Experience in GCP and one more cloud ( AWS/Azure) platform specifically in data migration experience Use an analytical and data driven approach to drive a deep understanding of fast changing business Have familiarity with data technologies such as snowflake, databricks, redshift, synapse Leading large-scale data modernization and governance initiatives emphasizing the strategy, design and development of Platform-as-a-Service, Infrastructure-as-a-Service that extend to private and public cloud deployment models Experience in designing, architecting, implementation, and managing data lakes/warehouses. Experience with complex environment delivering application migration to cloud platform Understanding of Agile, SCRUM and Continuous Delivery methodologies Hands-on experience with Docker and Kubernetes or other container orchestration platforms Strong Experience in data management with an understanding of analytics and reporting Understanding of emerging technologies and latest data engineering providers Experience in implementing enterprise data concepts such as Master Data Management and Enterprise Data Warehouse, experience with MDM standards. Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required : Bachelor’s Degree in Computer science/IT or relevant field Degree Preferred : Bachelor’s Degree or higher Minimum Years of Experience : 10 year(s) Certifications Required : XXX Certifications Preferred : PMP certification or certified scrum master Required Knowledge/Skills The Data & Analytics manager's primary responsibility is to manage and Lead projects/activities related to building the modern data ecosystem while working with IT and business to convert insights into strategic opportunities. We are in search of passionate, motivated, and creative Data & Analytics managers to join our Managed services team who would lead and manage a team of Data architects, Data technology engineers, Data scientists and Reporting and BI experts to drive business outcomes through analytics interventions. Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: Should have minimum 10 years of experience in data and analytics management with at least 6 years of Experience of leading various Data and Analytics program/initiatives of large sizes; Should have minimum 3 years’ Experience of managing and delivering Managed Data and Analytics projects/engagements. Managed Services/Operate/Production Support Experience is a must Oversee the delivery of data analytics engagements – development and maintenance of data pipelines, data models and analytics platforms Lead the implementation of analytic solutions including dashboards, reports and predictive models. Strong understanding of service delivery and Support models Should have extensive Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc.; Monitor and optimize the performance of the analytics platforms ensuring all SLAs are consistently met or exceeded Provide technical insights and recommendations to stakeholders delivering consistent high-quality support Collaborate with cross-functional teams to address client requirements and resolve technical issues. Contribute to the development of service offerings and strategic initiatives for data and analytics managed services. Identify opportunities for expanding services and enhancing client value. Should have led and driven estimations and sizing effort related to Data analytics work, plan and build teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Should have excellent communication, problem solving, quantitative and analytical abilities.; Should be Confident in decision making and the ability to explain processes or choices as needed. Should Perform as a team leader by creating a positive environment, build proven team members based on coaching and mentoring, shaping next generation of Data analytics leaders; Be able to effectively Monitor workloads of the team while meeting client expectations and respecting the work-life quality of team members; Be able to Recruit, train, develop, mentor, and supervise team members. Preferred Knowledge/Skills : Candidate should have good Experience in working with a managed services organization with a passion for leading multiple Data and Analytics projects and demonstrate proven experience in following key areas/activities 8+ years of experience in data analytics with a focus on solution design and technical delivery Proven experience in managed services or a similar operational support role Proficiency in data visualization tools (e.g. Tableau, Power BI) Hands-on experience with ETL, ELT, Data warehousing, and cloud platforms (AWS, Azure, GCP etc) Strong knowledge of SQL or other relevant programming languages like Python etc Strong problem solving and analytical abilities Ability to lead and work in collaborative, fast paced environments. Flexibility to work across time zones and support global clients Experience with Sales and Estimations is a plus

Job Description We are looking for a talented QA Automation Engineer to join our team at Precize Inc. In this role, you will be responsible for designing, implementing, and maintaining automated tests to ensure the highest level of software quality. Manual testing experience would also be beneficial to help ensure comprehensive testing coverage. Your Role And Responsibilities Develop, implement and maintain automated test scripts using tools like Selenium, PyTest and Python. Identify key areas for test automation and collaborate with development teams to define and implement effective automation strategies. Execute and maintain automated test suites to enhance test coverage and improve overall testing efficiency. Analyze and report on automated test results to ensure software quality. Manual testing experience will be beneficial to validate software functionality and ensure thorough testing. Qualifications Bachelor's or Master's degree in Computer Science or a related field. 0 to 4 years of experience in Quality Assurance (Automation). Proficiency with automation tools such as Selenium, PyTest and Python. Experience with Cloud platforms such as AWS, GCP or Azure is a plus. Strong problem-solving skills with the ability to work independently and meet deadlines. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Familiarity with Agile software development methodologies. (ref:hirist.tech)

Job Description Must have : Strong on programming languages like Python, Java One cloud hands-on experience (GCP preferred) Experience working with Dockers Environments managing (e.g venv, pip, poetry, etc.) Experience with orchestrators like Vertex AI pipelines, Airflow, etc. Understanding of full ML Cycle end-to-end Data engineering, Feature Engineering techniques Experience with ML modelling and evaluation metrics Experience with Tensorflow, Pytorch or another framework Experience with Models monitoring Advance SQL knowledge Aware of Streaming concepts like Windowing , Late arrival , Triggers etc. Good To Have Hyperparameter tuning experience. Proficient in either Apache Spark or Apache Beam or Apache Flink. Should have hands-on experience on Distributed computing. Should have working experience on Data Architecture design. Should be aware of storage and compute options and when to choose what. Should have good understanding on Cluster Optimisation/ Pipeline Optimisation strategies. Should have exposure on GCP tools to develop end to end data pipeline for various scenarios (including ingesting data from traditional data bases as well as integration of API based data sources). Should have Business mindset to understand data and how it will be used for BI and Analytics purposes. Should have working experience on CI/CD pipelines, Deployment methodologies, Infrastructure as a code (eg. Terraform). Hands-on experience on Kubernetes. Vector based Database like Qdrant. LLM experience (embeddings generation, embeddings indexing, RAG, Agents, etc.). Key Responsibilities Design, develop, and implement AI models and algorithms using Python and Large Language Models (LLMs). Collaborate with data scientists, engineers, and business stakeholders to define project requirements and deliver impactful AI-driven solutions. Optimize and manage data pipelines, ensuring efficient data storage and retrieval with PostgreSQL. Continuously research emerging AI trends and best practices to enhance model performance and capabilities. Deploy, monitor, and maintain AI applications in production environments, adhering to best industry standards. Document technical designs, workflows, and processes to facilitate clear knowledge transfer and project continuity. Communicate technical concepts effectively to both technical and non-technical team Skills and Qualifications : Proven expertise in Python programming for AI/ML applicati (ref:hirist.tech)

We are B2B Travel Tech startup that is reshaping the way travel agents sell and deliver exceptional travel experiences worldwide. We enable travel agents to book flights, hotels & holidays conveniently and we provide comprehensive end-to-end on-ground travel services. We do over INR 1000 crore+ GMV (sales) and are growing rapidly. Our strong business model and focus on delivering excellent customer experience has facilitated our sustainable growth funded by internal cashflows. To fuel innovation and growth, we have raised USD 5. 5mn+ funds from marquee global investors!. What Is On Offer Work on Best Tech Stack AWS/GCP, Kubernetes, Docker, Jenkins, GitLab, Terraform, Redis, Elasticsearch, RabbitMQ, Ansible, EKS, GKE, MySQL, and MongoDB. Learn from Best Mentors with Cumulative 50+ years of experience in Tech who previously worked in 4 unicorns. Work with a young & passionate team to excel and make an impact. Work closely with the founders. Build world class tech products and leverage technology to drive growth globally!. Fast Career Growth with fast appraisals and fast salary increase. Super passionate team with deep conviction which has stayed together during covid. Very high ownership role in a fast-paced environment. Great Culture -> No hierarchy/politics nonsense guaranteed!. Growth Path VP/Director 40-50 LPA. Manager/ Tech Lead 25-40 LPA. APM/SDE 2 14-25 LPA. Analyst/SDE 1 7-14 LPA. About Us The founding team has aced their respective leadership roles at successful internet startups in India, which are as follows: Ashish: Cofounder, leads technology, Ex CTO Cars24, CTO FabFurnish, Gaadi. Arun: Cofounder, leads product, Ex Cars24, TravelTriangle, TripFactory, IIM Bangalore. Chirag: Cofounder, leads business, Ex Oyo, TravelTriangle, IIM Ahmedabad, IIT Roorkee. Shrawan: VP Engineering, 20+ yrs Tech exp, Ex CTO Millenium Entertainment, One Kosmos. Akshat: Director Engineering, 16+ yrs Tech exp, Ex Cars24, L&T, Samsung US, Motorola US. Rajesh:Director Engineering, 15+ yrs Tech exp, Ex Hike, Foodpanda. Must Have Technical Skills Proficiency in cloud services (AWS or Google Cloud Platform) and containerization tools like Kubernetes and Docker. Hands-on Experience With Linux OS. Scripting (Shell/Bash/Python). Database management (MySQL, MongoDB). Expertise with CI/CD tools (e., Jenkins, GitLab, Chef/Puppet/Ansible, Maven/Nexus, EKS, GKE) and configuration management tools like Ansible and Terraform. Deploy and maintain infrastructure using Redis, Elasticsearch, and RabbitMQ for scalable and high-performance applications. You Must Check if you fit in the role : Experienced with building, deploying, and operating tech infrastructure and applications. Skilled in making software updates and fixing issues in deployments. You Can Collaborate with different teams to improve and streamline DevOps processes. Have strong troubleshooting skills for infrastructure and deployment issues. You Want To Drive technical excellence and automation. Grow in a fast-paced environment. This role is not ideal for someone who is : Is not comfortable being available during odd hours / at night for support. Has not worked on multiple backend applications independently. Is not self-motivated to keep up with the rapidly evolving DevOps ecosystem. Is not comfortable with long working hours (10 12 hours daily). Is not comfortable working 5 days a week from the office in Delhi. Important Points Office Location : Connaught Place, Delhi. Work Timings : 9:30 till work gets over. You are considering joining a startup. Building anything of value takes time. The majority of our exits happen within the first 2 months of people joining because new joiners are not able to adjust to the high pace environment. You can expect 10-12 hours of work in a day!. Fast pace translates to fast growth and exciting responsibilities. ESOPs 30% of team members have ESOPs. Promotions 40% of team members get promoted in 2 years. Aggressive hikes for top performers with median hikes ~25%. (ref:hirist.tech)

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. We are looking for a seasoned Data Scientist – Manager to lead advanced analytics initiatives and drive data-driven decision-making across the organization. The ideal candidate combines deep expertise in statistical modeling, machine learning, and modern data science techniques with strong business acumen and leadership skills. The role involves solving complex problems, building scalable models, and integrating advanced AI solutions into business workflows. Key Responsibilities Data Science Leadership: Lead a team of data scientists and analysts in designing, developing, and deploying machine learning models and statistical algorithms. Mentor team members, promoting best practices in experimentation, coding, and model evaluation. Translate business problems into structured analytical solutions using robust quantitative methods. Model Development & AI Integration Develop predictive and prescriptive models using regression, tree-based methods (e.g., Random Forest), LSTM, and reinforcement learning techniques. Apply deep learning and large language models (LLMs) to extract insights from structured and unstructured data. Work closely with engineering teams to productionize models and embed them into digital products and services. Advanced Analytics & Statistical Inference Perform exploratory data analysis, sampling, and inferential testing to identify trends and actionable insights. Use econometric and time series techniques to forecast and evaluate impact, especially in economic or behavioral contexts. Apply PCA and other dimensionality reduction techniques to handle high-dimensional data. Cloud & Data Infrastructure Collaborate with data engineering teams to access and leverage data from cloud platforms (AWS, GCP, Databricks). Utilize SQL, R, and Python to extract, clean, and manipulate large datasets from relational (RDBMS) and NoSQL (e.g., MongoDB) databases. Stakeholder Engagement & Strategic Impact Partner with business stakeholders to define analytical objectives and communicate findings with clarity. Lead data science strategy and roadmap development to ensure alignment with organizational goals. Drive innovation by exploring and implementing state-of-the-art methods in AI and machine learning. Required Skills And Experience 8+ years of experience in data science, with deep proficiency in Python, SQL, and statistical modeling. Proven experience developing and deploying ML models, including deep learning and time series forecasting. Expertise in cloud platforms and data pipeline integration for scalable model delivery. Strong understanding of statistical inference, econometrics, and experimental design. Experience with LLMs and advanced language models is a plus. Excellent problem-solving, communication, and team leadership abilities. Qualifications Master’s or PhD in Data Science, Computer Science, Statistics, Economics, or a related field. Demonstrated ability to lead data science projects from concept to deployment. Strong track record of delivering impact through data science in complex business environments.

Key Responsibilities Design, develop, and maintain robust, scalable, and efficient Java-based backend systems. Build and deploy microservices using Spring Boot and integrate them with Apache Kafka for stream processing. Develop and maintain Kafka producers, consumers, and Kafka Streams for real-time messaging and data pipelines. Participate in the design of distributed systems architecture, ensuring high availability and resilience. Write clean, maintainable, and well-documented code following best practices and coding standards. Perform unit and integration testing to ensure software quality and reliability. Collaborate closely with cross-functional teams (QA, DevOps, Product, UI/UX) in agile development environments. Troubleshoot production issues, identify root causes, and implement fixes in a timely manner. Continuously optimize and refactor existing code to improve performance and maintainability. Stay updated with emerging trends in Java, Kafka, cloud-native development, and distributed Qualifications : Bachelors degree in Computer Science, Information Technology, or related technical discipline. 5+ years of experience in Java/J2EE backend development. Strong expertise in Spring Framework, including Spring Boot, Spring Cloud, and Spring Data. Solid experience with Apache Kafka including producers, consumers, stream processing, and Kafka Connect. Proficiency in building RESTful APIs and integrating backend systems with third-party services. Solid understanding of microservices architecture, event-driven systems, and cloud-native application development. Familiarity with containerization tools such as Docker and orchestration using Kubernetes is a plus. Experience working with SQL/NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Cassandra. Proficient in version control systems (e.g., Git), CI/CD pipelines, and build tools like Maven or Gradle. Strong debugging, problem-solving, and performance tuning Skills : Knowledge of Cloud platforms (AWS, GCP, or Azure). Experience with Kafka Schema Registry, Kafka Connectors, and Kafka security configurations. Exposure to monitoring/logging tools like Prometheus, Grafana, ELK, or Splunk. Hands-on experience with Agile/Scrum methodologies and tools like JIRA, Skills : Excellent communication skills both verbal and written. Ability to work independently with minimal supervision. Strong team player with a proactive mindset. Willingness to mentor junior developers and lead by example (ref:hirist.tech)

Job Location: Hyderabad. Job Type: Full Time. Work Timing: US EST Time Zone. Work Mode: Hybrid. Job Description. Lead global IT infrastructure operations across 80+ sites, ensuring 99.99% availability. Manage and mentor a high-performing team of infrastructure engineers and specialists. Oversee core infrastructure components including servers, networks, firewalls, storage, and cloud platforms. Drive operational excellence, automation, and process efficiency in a 24/7 environment. Manage cloud operations (AWS, Azure, or GCP), optimizing performance, cost, and compliance. Ensure effective incident management, change control, backup, and disaster recovery processes. Collaborate with Security, Engineering, Application, and Capacity teams to support enterprise goals. Lead the deployment and optimization of end-user experience tools (e.g., JAMF, SCCM, Intune, Nexthink, Moveworks). Deliver dashboards and strategic reports on infrastructure health, support KPIs, and user experience. Communicate clearly with both technical and non-technical stakeholders; contribute to IT roadmaps. Skills & Requirements. Technical Expertise : Strong background in managing infrastructure technologies: Windows/Linux servers, virtualization (VMware/NSX), firewalls, DNS/DHCP, and enterprise networking. Proven experience with cloud platforms: AWS, Azure, or GCP (deep expertise in at least one). Knowledge of enterprise storage solutions (SAN/NAS), backup technologies, and disaster recovery strategies. Hands-on experience with monitoring and alerting tools such as SolarWinds, SCOM, Nagios, and CloudWatch. Proficient in automation tools (Ansible, Chef, Puppet, PowerShell, Python). Familiarity with ITSM platforms (e.g., ServiceNow) and alert integrations. Exposure to database systems: Oracle, MS SQL, MySQL. Experience managing end-user technology platforms and lifecycle for hardware and software across the enterprise. Leadership & Operations 10+ years in IT infrastructure roles, with 5+ years in a leadership position managing global/offshore teams. Strong understanding of ITIL best practices and enterprise service management. Proven ability to lead large-scale infrastructure initiatives and drive incident/problem resolution. Experience in vendor management, budget oversight, and cross-functional collaboration. Strong analytical and problem-solving skills; capable of presenting insights to senior leadership. Excellent communication and interpersonal skills; ability to lead in high-pressure environments. Education & Certifications Bachelors degree in Computer Science, Information Technology, or related field (Masters preferred). Preferred certifications: ITIL, AWS/Azure/GCP, Agile, or DevOps. (ref:hirist.tech)

Work Mode : Lead and manage a global infrastructure operations team, ensuring 99.99% availability across 80+ enterprise sites. Oversee the reliable, secure, and efficient operation of all IT infrastructure components, including servers, storage, network, firewalls, and cloud platforms (AWS, Azure, GCP). Drive operational excellence, implement best practices (ITIL), and manage vendor and outsourcing relationships. Ensure continuous monitoring, incident response, backup and disaster recovery for critical systems. Manage infrastructure documentation, change management, and production control frameworks. Optimize cloud operations for performance, cost-efficiency, and security compliance. Collaborate with cross-functional teams including Engineering, Security, Application, and Capacity. Ensure infrastructure aligns with compliance standards such as SOC 2, NIST, PCI, and RAP. Oversee end-user experience platforms and support tools (JAMF, SCCM, Intune, Nexthink, Moveworks). Provide dashboards and reports on infrastructure health, automation, and support KPIs. Contribute to infrastructure strategy, planning, and execution of IT roadmaps. Lead the resolution of major incidents, conduct root cause analysis, and drive preventive measures. Identify opportunities for process improvement and automation across infrastructure operations. Participate in security audits and support remediation and audit & Requirements Expertise : Operating systems: Windows Server, Linux, RedHat. Networking: TCP/IP, DNS, DHCP, routing, switching, firewalls, VPNs. Storage: EMC, NetApp, SAN, VMware, NSX. Cloud: Deep experience in AWS, Azure, or GCP (at least one tools: SolarWinds, SCOM, Nagios, CloudWatch, Azure Ansible, Chef, Puppet, Python, and collaboration tools: JAMF, SCCM, Intune, Nexthink, Moveworks, O365, Zoom, Teams. Database familiarity: Oracle, MS SQL, MySQL, OCI. ITSM & Alerting: ServiceNow, integrated alerting & Experience : 10+ years of IT infrastructure experience, with at least 5 years in global/offshore team leadership roles. Proven ability to lead, motivate, and manage high-performing technical teams. Strong experience in 24/7 infrastructure operations and managing large-scale co-location/vendor relationships. Hands-on experience in troubleshooting complex infrastructure issues and conducting RCA. Excellent communication skills for engaging with stakeholders across business and IT functions. Ability to support scheduled and unscheduled changes, incident response, and service & Governance : Strong understanding of ITIL v3 or later. Working knowledge of change/production control frameworks. Experience supporting SOX, PCI, and security audit requirements. Experience with disaster recovery planning and execution. Strong project and resource management : Bachelors degree in Computer Science, IT, or related field (Masters preferred). Strong understanding of IT infrastructure, project delivery, and software operations. Experience working in global organizations with distributed teams. Cultural awareness and ability to work across multiple time Certifications : ITIL, AWS/Azure/GCP, Agile, or DevOps certifications. (ref:hirist.tech)

Summary about Organization A career in our Advisory Acceleration Center is the natural extension of PwC’s leading global delivery capabilities. The team consists of highly skilled resources that can assist in the areas of helping clients transform their business by adopting technology using bespoke strategy, operating model, processes and planning. You’ll be at the forefront of helping organizations around the globe adopt innovative technology solutions that optimize business processes or enable scalable technology. Our team helps organizations transform their IT infrastructure, modernize applications and data management to help shape the future of business. An essential and strategic part of Advisory's multi-sourced, multi-geography Global Delivery Model, the Acceleration Centers are a dynamic, rapidly growing component of our business. The teams out of these Centers have achieved remarkable results in process quality and delivery capability, resulting in a loyal customer base and a reputation for excellence. . Job Description Senior Data Architect with experience in design, build, and optimization of complex data landscapes and legacy modernization projects. The ideal candidate will have deep expertise in database management, data modeling, cloud data solutions, and ETL (Extract, Transform, Load) processes. This role requires a strong leader capable of guiding data teams and driving the design and implementation of scalable data architectures. Key areas of expertise include Design and implement scalable and efficient data architectures to support business needs. Develop data models (conceptual, logical, and physical) that align with organizational goals. Lead the database design and optimization efforts for structured and unstructured data. Establish ETL pipelines and data integration strategies for seamless data flow. Define data governance policies, including data quality, security, privacy, and compliance. Work closely with engineering, analytics, and business teams to understand requirements and deliver data solutions. Oversee cloud-based data solutions (AWS, Azure, GCP) and modern data warehouses (Snowflake, BigQuery, Redshift). Ensure high availability, disaster recovery, and backup strategies for critical databases. Evaluate and implement emerging data technologies, tools, and frameworks to improve efficiency. Conduct data audits, performance tuning, and troubleshooting to maintain optimal performance Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. 13+ years of experience in data modeling, including conceptual, logical, and physical data design. 5 – 8 years of experience in cloud data lake platforms such as AWS Lake Formation, Delta Lake, Snowflake or Google Big Query. Proven experience with NoSQL databases and data modeling techniques for non-relational data. Experience with data warehousing concepts, ETL/ELT processes, and big data frameworks (e.g., Hadoop, Spark). Hands-on experience delivering complex, multi-module projects in diverse technology ecosystems. Strong understanding of data governance, data security, and compliance best practices. Proficiency with data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner). Excellent leadership and communication skills, with a proven ability to manage teams and collaborate with stakeholders. Preferred Skills Experience with modern data architectures, such as data fabric or data mesh. Knowledge of graph databases and modeling for technologies like Neo4j. Proficiency with programming languages like Python, Scala, or Java. Understanding of CI/CD pipelines and DevOps practices in data engineering.

About The Company Finvasia is a multi-disciplinary, multinational organisation that owns and operates over a dozen brands across financial services, technology, real estate and healthcare verticals. Over the last 13 years of our history, Finvasia has managed funds for some of the notable hedge funds of the Wall street, launched the first and only commission free ecosystem for listed and fee based financial products in India, provided technology to some of the notable listed and unlisted financial services entities across the globe, launched medically proven diabetes reversal program and engaged scientist from various specialized fields to build nano and micro medical devices that can monitor and assist in various body functions. In the last 13 years, we have catered to a few million clients in over 180 countries directly or via one of our subsidiaries. Some of the notable brands owned by Finvasia are Fxview, Shoonya, Zulutrade, AAAfx, ACT Trader, CapitalWallet, Gini Health, bodyLoop, StackFlow, Finvasia estates, and portfolios.com Our team comprises over 350 employees that work in our offices across India, UK, Greece, Cyprus, Canada, Mauritius and USA. Our team enjoys a collegiate environment and get to work across a multitude of brands, products, technologies, and industry segments and get an opportunity to get more global exposure while working with teams from different parts of the globe. As a company, Finvasia is an equal-opportunity employer that respects and encourages diversity and inclusion. We are looking for a seasoned Senior Golang Developer with over 10 years of experience in backend development, primarily with Golang. The ideal candidate should also possess hands-on experience with Java and a strong background in designing and building scalable, robust, and efficient software systems. You will be responsible for the development, enhancement, and maintenance of high-performance backend services while collaborating with cross-functional teams to deliver high-quality products. Key Responsibilities Develop, test, deploy, and maintain high-quality backend systems using Golang. Build reusable code and libraries for future use. Contribute to system architecture and design discussions. Collaborate with architects and engineering teams to design scalable and resilient systems. Implement microservices architecture with effective service orchestration and communication. Monitor performance and troubleshoot issues in production environments. Enhance application performance and reduce latency wherever possible. Perform regular code reviews and maintain high coding standards and best practices. Write well-documented, clean, and maintainable code. Work closely with front-end developers, DevOps engineers, product managers, and other stakeholders. Participate in daily stand-ups, sprint planning, and retrospective meetings. Maintain comprehensive technical documentation for new and existing systems and APIs. Stay updated with the latest Golang trends, libraries, tools, and best practices. Advocate for continuous improvement and share knowledge with the Skills & Qualifications : Bachelors degree in Computer Science, Engineering, or related technical field (or equivalent practical experience). 10+ years of experience in backend development with at least 4+ years in Golang. Prior development experience in Java is highly desirable. Strong knowledge of Golang paradigms, idioms, and standard libraries. Experience with Go frameworks like Gin, Echo, or Beego. Solid understanding of concurrency and parallelism in Go. Proficiency in designing and integrating RESTful APIs and Web Services. Hands-on experience with relational and non-relational databases such as PostgreSQL, MongoDB, MySQL, or Redis. Familiarity with version control systems like Git. Experience with containerization and orchestration tools (Docker, Kubernetes). Understanding of microservices design principles and patterns. Working knowledge of CI/CD pipelines and DevOps practices. Cloud exposure (AWS, GCP, Azure) with a good understanding of deployment and scaling. Exposure to message brokers like Kafka, RabbitMQ, or similar technologies. Basic understanding of front-end technologies (JavaScript, React, Angular) for effective collaboration. Nice to Have Contributions to open-source Golang projects. Experience with GraphQL or gRPC. Familiarity with observability tools (Prometheus, Grafana, ELK stack). (ref:hirist.tech)

Senior FullStack Engineer - MERN Experience : 6-8 Years Salary : 18-25lpa Location : Pune Type : Full-time About Digit88 Digit88 empowers digital transformation for innovative and high growth B2B and B2C SaaS companies as their trusted offshore software product engineering partner! We are a lean mid-stage software company, with a team of 75+ fantastic technologists, backed by executives with deep understanding of and extensive experience in consumer and enterprise product development across large corporations and startups. We build highly efficient and effective engineering teams that solve real and complex problems for our partners. With more than 50+ years of collective experience in areas ranging from B2B and B2C SaaS, web and mobile apps, e-commerce platforms and solutions, custom enterprise SaaS platforms and domains spread across Conversational AI, Chatbots, IoT, Health-tech, ESG/Energy Analytics, Data Engineering, the founding team thrives in a fast paced and challenging environment that allows us to showcase our best. The Vision : To be the most trusted technology partner to innovative software product companies world-wide The Opportunity Digit88 is establishing a new product development team for its US based partner, that is building next-generation Big Data, Cloud-Based Business Operation Support technology for utilities, retail energy suppliers and Community Choice Aggregators (CCA). The candidate would be joining an existing team of engineers in the US and help us expand the product engineering team and work on different products and on different layers of the infrastructure. Job Profile Digit88 is looking for an enthusiastic, self-motivated, hands on senior web application engineer with superlative React/Redux and great troubleshooting skills to join our engineering team. Experience with a fast-paced India/US product start-up or a product engineering services company in a senior engineer role, building and managing a high-performance real-time system is mandatory. Applicants must have a passion for engineering with accuracy and efficiency, be highly motivated and organized, able to work as part of a team, and also possess the ability to work independently with minimal supervision. In This Role, You Will Architect and build Web Applications Maintain code quality and high standards of development Build out a new UI component library Unit-test code for robustness, including edge cases, usability, and general reliability Manage releases for our internal stakeholders Build and maintain internal tooling and reporting infrastructure Work with product team to translate business requirements into smaller work units for the engineering team Collaborate with other engineers to plan, build and test new features To Be Successful In This Role, You Should Possess : BA/BS/Masters degree in CS or related with 6 years of experience as a web application engineer with fluency in Javascript and the MERN stack. At least 4 years of strong experience with Node.js Strong experience with websockets, observable based programming 4+ years experience with React, Redux, TypeScript Experience with Distributed systems and microservices Experience with databases such as MySQL Experience in creating client side asynchronous web applications using Ajax. Experience building a streaming analytics system is a big plus Expertise working with RESTful Experience with working with CI/CD infrastructure Experience with working with build tools like Webpack or Rollup Excellent analytical and time management skills Experience in other Javascript frameworks like Vue.JS, Angular/NgRx/RxJs is a plus. Cloud experience with Microsoft Azure or GCP or AWS is a plus Experience in MongoDB, Cassandra is a plus Additional Project/Soft Skills Product from scratch experience: at least 2 products, should be able to work independently with India & US based team members. Strong verbal and written communication with ability to articulate problems and solutions over phone and emails. Strong sense of urgency, with a passion for accuracy and timeliness. Ability to work calmly in high pressure situations and manage multiple projects/tasks. Ability to work independently and possess superior skills in issue @ Digit88: Comprehensive Insurance (Life, Health, Accident) Flexible Work Model Accelerated learning & non-linear growth Flat organisation structure driven by ownership and accountability. Global Peers - Working with some of the best engineers/professionals globally from the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies Ability to make a global impact with your work, leading innovations in Conversational AI, Tele-Medicine, Healthcare and more. You will work with a founding team of serial entrepreneurs with multiple successful exits to their credit. The learning will be immense just as will the challenges. This is the right time to join us and partner in our growth! (ref:hirist.tech)

Job Title: Site Reliability Engineer (SRE) – Cloud Infrastructure & Automation Locations: Munich: Strong preference for GCP and AWS (Azure is a plus) Kirkland: Strong preference for Azure and AWS (GCP is a plus) Pune, India: Open to strong profiles with multi-cloud experience (AWS mandatory; GCP or Azure is a plus) Onsite Requirement: 100% Onsite or Hybrid based on location and role level Overview: We are looking for a hands-on Site Reliability Engineer who is a builder at heart —someone who thrives on designing, automating, and operating complex cloud-native infrastructure. This is not a purely architectural or consulting role; we need someone who is 80%+ hands-on and passionate about building and scaling systems from the ground up. You’ll play a key role in ensuring reliability, scalability, and performance of production systems across multi-cloud environments. Key Responsibilities: Build and manage infrastructure as code using modern tooling (e.g., Terraform, ArgoCD). Design and operate Kubernetes-based production systems using open-source solutions. Develop automation tools and scripts to improve operational efficiency. Contribute to the development of highly available, fault-tolerant distributed systems. Monitor and maintain infrastructure health using Prometheus-compatible observability tools. Collaborate with developers to enable CI/CD pipelines and cloud-native application delivery. Required Qualifications: Bachelor’s degree in Computer Science, Engineering, or equivalent experience. Minimum 3 years of hands-on experience as a Site Reliability Engineer . Minimum 3 years of Kubernetes production experience , leveraging ecosystem tools. At least 3 years of experience developing production-grade software. Proficiency in at least one OOP language (Go, C++, Python preferred). Strong hands-on experience with AWS and one or more of GCP or Azure . Solid foundation in Linux and networking concepts . Proven experience in building and maintaining high-concurrency, highly available systems . Nice to Have (Bonus Skills): Knowledge of application security in cloud-native environments. Familiarity with service mesh or multi-cluster mesh infrastructure (e.g., Cilium). Experience with observability stacks (Prometheus, Grafana, etc.). Experience using GitHub Actions or other modern CI/CD tools. Exposure to tools like ArgoCD , Terraform , FoundationDB , Kafka , or Kubernetes operators . If you are a hands-on builder who loves solving infrastructure challenges at scale and working with cutting-edge technologies, we’d love to hear from you—whether you're based in Munich , Kirkland , or Pune .

As an experienced Machine Learning Engineer with 5 to 7 years of experience in Pune, you will play a crucial role in developing, training, and fine-tuning Machine Learning models for AI/ML applications. Your responsibilities will include designing and implementing data pipelines for data processing, model training, and inference. You will be tasked with deploying models using MLOps and integrating them with cloud infrastructure. Collaboration with product managers and designers to conceptualize AI-driven features will be an essential part of your role. Additionally, you will be expected to research and implement various ML and AI techniques to improve performance. To excel in this position, you should have proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, TensorFlow, and PyTorch. Experience with SQL and ETL data pipelines, including data processing and feature engineering, is required. Familiarity with Docker and container-based deployments for creating cloud-agnostic products is essential. A strong understanding of AI and Machine Learning concepts, including Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning, is crucial. Knowledge of at least one cloud platform (AWS, Azure, GCP) and ML deployment strategies, preferably Azure, is expected. Exposure to LLMs (e.g., OpenAI, Hugging Face, Mistral) and foundation models will be beneficial, along with an understanding of various Statistical models.,

As a Domain Architect specializing in BFSI (Banking, Financial Services, and Insurance), you should possess a minimum of 12+ years of experience in the BFSI IT industry. Your expertise should cover various portfolios including Consumer Relationship, Business & Commercial Banking, Lending (Consumer lending, Commercial lending, Business lending), Insurance (including claims processing and complaints management), as well as a deep understanding of Regulations, compliance, and Risks. Your responsibilities will involve extensive knowledge and experience in interpreting Banking requirements within the mentioned portfolios and translating them into IT system/application requirements. You will be required to design IT applications utilizing technologies such as Java/J2EE, RDBMS (Oracle/MySQL, etc.), and deploying them on public clouds like AWS, Azure, and GCP. In this role, you will be expected to architect and design IT solutions, with a focus on personalization. Acting as a liaison between technical teams and Business teams within the BFSI industry, strong communication skills are essential for effective collaboration. Any certifications in Cloud platforms (AWS, GCP, Azure) will be considered an added advantage.,

As a Software Architect at MIST, you will be responsible for designing and implementing scalable, high-performance software solutions that incorporate modern technologies such as AI/ML integration. Your deep expertise in system architecture, cloud platforms, and AI-driven development will be crucial in leading technical teams to create future-ready applications. Your key responsibilities will include developing scalable, secure, and AI-augmented software architectures. You will design systems that leverage AI/ML models, LLMs (e.g., OpenAI, Gemini), and data-driven decision-making. Additionally, you will be tasked with designing and optimizing cloud-native solutions using microservices architecture, guiding teams in both frontend and backend development, and optimizing databases and APIs for AI integrations. Implementing and improving CI/CD pipelines for automated testing and deployment will also be part of your role. To excel in this position, you should have at least 8 years of experience in software development, with a minimum of 2 years in a Software Architect or similar role. Your technical expertise should encompass proficiency in frontend and backend technologies, cloud platforms, containerization, microservices, serverless architecture, scalable system design, database design, and API development. Familiarity with DevOps tools and soft skills such as leadership, problem-solving, and communication will also be essential. Preferred qualifications for this role include certifications in cloud architecture, experience with AI/ML integration, and contributions to open-source projects or tech communities. Joining MIST will offer you the opportunity to shape the technical direction of innovative products, work with cutting-edge technologies in a collaborative environment, and enjoy competitive compensation, flexible work options, and opportunities for career growth.,

As a Machine Learning Engineer at Tecblic, you will be part of a forward-thinking team that specializes in delivering AI-driven solutions to empower businesses in the digital age. If you are passionate about Large Language Models (LLMs), machine learning, and pushing the boundaries of Agentic AI, we invite you to join us on our innovative journey. Your primary responsibilities will include researching, designing, and fine-tuning machine learning models, with a specific focus on LLMs and Agentic AI systems. You will collaborate with software engineers and product teams to integrate AI models into customer-facing applications, perform data preprocessing and exploratory data analysis, and design robust model deployment pipelines. Additionally, you will prototype innovative solutions using cutting-edge techniques like reinforcement learning and generative AI, while also providing technical mentorship to junior team members. To excel in this role, you should have proficiency in Python for machine learning tasks, expertise in ML frameworks like PyTorch and TensorFlow, and a solid understanding of LLMs such as GPT and BERT. Experience with NLP tasks, deep learning architectures, and data manipulation tools is essential. Familiarity with cloud services, deployment tools, and additional skills like Agentic AI exposure and MLOps tools would be advantageous. In addition to technical skills, you should possess a strong analytical and mathematical background, solid understanding of algorithms and data structures, and the ability to handle large datasets using distributed frameworks. Soft skills such as problem-solving, communication, and collaboration are also crucial for success in this role. If you are a self-motivated individual with excellent critical-thinking abilities and a continuous learning mindset, we look forward to having you contribute to our team at Tecblic.,

As an organization focused on re-imagining agricultural insurance through the innovative integration of Public Cloud, GIS, Remote-sensing, and cutting-edge AI-based algorithms, we at Kshema are dedicated to empowering the future of agricultural insurance. Leveraging the latest advancements in Mobile and Geospatial technologies, we are committed to revolutionizing the industry. We are currently seeking a Chief Information Security Officer (CISO) who will play a pivotal role in driving our cyber security strategy and ensuring strict compliance with regulatory and statutory guidelines pertaining to information and cyber security. As the CISO, you will be entrusted with the responsibility of enforcing policies aimed at safeguarding the organization's information assets and coordinating all information/cyber security-related matters internally and externally. **Key Responsibilities:** - Develop a comprehensive Information Security Roadmap for the organization with a forward-looking perspective. - Establish and oversee an enterprise-wide information security and IT risk management program. - Lead the implementation and review of Hardware, Network, and Software Security Standards and Controls to fortify systems, data, and assets against internal and external threats. - Implement Security Assessment and Testing Processes, including Penetration Testing, Secure Software Development, and Vulnerability Management. - Identify and deploy cutting-edge Security Products/Tools for various purposes. - Proactively monitor and address security issues, potential threats, and vulnerabilities to enhance security standards continually. - Conduct Information Security awareness training for all employees. - Execute Security Assessment practices such as Audits and Reviews. - Provide strategic guidance and consultation for IT Projects, including security risk assessments. - Conduct real-time analysis, investigations, and forensics when necessary to enhance security measures. - Develop strategies to manage security incidents and conduct investigations. - Maintain regular communication with stakeholders on Information and Data Security Practices and Activities. - Implement a strategy for deploying information security technologies to mitigate cyber-attack risks. - Continuously evaluate current IT security practices and systems for enhancement. - Ensure compliance with the latest regulations and requirements. - Develop and implement business continuity plans. **Desired Skills and Experience:** - Engineering Graduate/Post-Graduate in fields such as Computer Science, IT, Electronics, Communications, or Cyber Security. - Minimum of 15 years" experience in risk management, information security, or cyber security. - Profound knowledge of information security management frameworks like ISO/IEC 27001 and NIST. - Familiarity with DevSecOps, Secure SDLC, Security Automation, Security Testing, DR & BCP Concepts. - Experience in financial forecasting and budget management. - Understanding of Industry Security Standards, Protocols, and Data Privacy Regulations. - Ability to navigate ambiguity and devise solutions for complex problems. - Experience in contract and vendor negotiations and management. - Proficiency in Agile software development practices. - Collaboration skills to work effectively with cross-functional teams. - Relevant certifications such as CISSP, CEH, CISA, and CISM are advantageous. - Hands-on experience in designing, implementing, and operating security in public clouds like AWS, Azure, Oracle, or GCP. - Strong written and verbal communication skills with a high level of integrity. - Excellent presentation skills. Join us at Kshema and be a part of our mission to redefine agricultural insurance through innovation and technology.,

At CredArtha, we are revolutionizing financial intelligence with FINA (Financial Intelligence & Neural Analyst), our proprietary vertical LLM designed to process, analyze, and generate financial insights. Our mission is to empower financial institutions, businesses, and individuals with AI-driven precision, efficiency, and automation in financial decision-making. We are looking for a Senior Machine Learning Engineer who is passionate about LLMs, deep learning, and NLP and is eager to build cutting-edge AI models tailored for financial data processing, document understanding, and predictive analytics. If you have expertise in training and fine-tuning open-source LLMs, developing retrieval-augmented generation (RAG) systems, and optimizing NLP models for real-world applications, we want you on our team. Your Role & Responsibilities As a Senior Machine Learning Engineer, you will: LLM Development & Optimization - Design, train, and fine-tune FINA, leveraging open-source LLMs such as LLaMA, Falcon, Mistral, and GPT-J for financial applications. - Implement parameter-efficient fine-tuning (PEFT) techniques to optimize model efficiency while maintaining accuracy. - Work on self-learning mechanisms to ensure FINA continuously evolves through user interactions and real-time financial data ingestion. NLP & Financial Data Processing - Develop and enhance NLP models for document understanding, financial risk analysis, and transaction categorization. - Work on named entity recognition (NER), sentiment analysis, topic modeling, and automated financial report generation. - Design embedding models and vector search architectures to create a robust financial knowledge base. RAG & AI-Powered Financial Insights - Implement retrieval-augmented generation (RAG) pipelines to enhance LLM response accuracy and domain knowledge. - Build custom search and retrieval mechanisms using vector databases like FAISS, Weaviate, or ChromaDB. - Develop multi-modal AI models that combine structured and unstructured financial data to provide deep insights and analytics. Deployment, MLOps & Scalability - Deploy and manage FINA using cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and MLOps best practices. - Optimize models for low-latency inference and scalability using quantization, distillation, and model pruning techniques. - Implement real-time monitoring and feedback loops to improve model performance and user experience. Ideal Candidate Profile We are looking for someone who has: - Hands-on experience in Machine Learning, Deep Learning, and NLP (LLMs, Transformers, RNNs, etc.). - Strong proficiency in Python, with experience in TensorFlow, PyTorch, Hugging Face Transformers, and LangChain. - Expertise in fine-tuning LLMs, self-supervised learning, and AI explainability. - Experience working with financial data (bank statements, credit reports, transactional data, risk models, etc.). - Strong knowledge of vector embeddings, search algorithms, and RAG implementations. - Familiarity with database technologies (SQL, MongoDB, NoSQL) and cloud platforms (AWS, GCP, Azure). Bonus: Experience in financial risk modeling, fraud detection, or credit scoring models. Why Join CredArtha - Innovate at the intersection of AI & Finance - Work on groundbreaking AI-driven financial solutions. - Build FINA from the ground up - Develop a vertical LLM that will be at the core of CredArtha's technology stack. - Impact millions - Help businesses and financial institutions automate, analyze, and optimize decision-making with AI. - Freedom to experiment - Push the boundaries of deep learning and NLP in a fast-paced, innovation-driven environment.,

As a highly skilled and motivated Java React Full Stack Developer, you will be responsible for designing, developing, and maintaining high-quality web applications using Java and React.js technologies. Your involvement will span across all phases of the software development lifecycle, from conceptualization and design to deployment and ongoing maintenance. Your key responsibilities will include participating in the entire application lifecycle with a focus on coding and debugging, writing clean and well-documented code, collaborating with cross-functional teams to define and implement new features, troubleshooting and debugging applications, conducting code reviews, and providing constructive feedback to team members. You will also contribute to enhancing development processes and tools, work within agile methodologies like Scrum, implement security best practices, update existing applications to meet evolving business requirements, design and implement data models using databases such as MySQL and PostgreSQL, and assist in deploying and maintaining applications in cloud environments like AWS, Azure, and GCP. In terms of technical skills, you should possess a strong proficiency in Java with expertise in the Spring Boot framework, as well as proficiency in React.js including state management solutions like Redux. Experience with RESTful APIs, microservices architecture, relational databases, version control systems like Git, testing frameworks such as JUnit, Jest, and Cypress, Agile methodologies, build tools like Maven, Gradle, npm, and yarn, and cloud platforms like AWS, Azure, or GCP is essential. Additionally, familiarity with front-end technologies like HTML, CSS, and JavaScript is required. To qualify for this role, you must hold a Bachelor's degree in Computer Science or a related field, have at least 7 years of experience as a Full Stack Developer, and demonstrate a proven track record of delivering high-quality web applications successfully. Your skills and experience should showcase extensive proficiency in Java development, including object-oriented programming principles, design patterns, and working with various Java libraries and frameworks, especially Spring Boot. You should also possess a deep understanding of React.js, including JSX, components, state management solutions like Redux, and lifecycle methods. Experience in building complex and interactive user interfaces, writing clean and efficient React code, and testing in React environments is crucial for this role.,

As a GCP IT/Cloud Engineering professional at Navoto in Noida, you will be responsible for network administration, troubleshooting, network security, and delivering exceptional customer service. Your role will be crucial in ensuring the seamless operation of IT and cloud systems within the organization. To excel in this position, you should possess strong skills in network administration, troubleshooting, and network security. Proficiency in Information Technology, along with relevant certifications in GCP or Cloud Engineering, will be essential. Your problem-solving abilities, excellent communication skills, and capacity to work effectively both independently and as part of a team are key qualities that we are looking for in the ideal candidate. The preferred candidate will have at least 7 years of hands-on experience with GCP services such as Compute Engine, Cloud Storage, BigQuery, GKE, and Cloud Run. Experience with Kubernetes and container orchestration, familiarity with multi-cloud environments and hybrid cloud architectures, exposure to machine learning services on GCP, and hands-on experience with monitoring tools like Google Cloud Operations Suite or Prometheus will be advantageous. Moreover, familiarity with DevOps practices and Agile methodologies will be a plus. Join Navoto and be part of our dynamic and collaborative work environment where innovative web design solutions are crafted to drive businesses forward in the digital age.,

As a Software Development Engineer (SDE) specializing in Java Backend Engineering, you will be responsible for designing, developing, and maintaining backend services and APIs in Java to support scalable and high-performance applications. Your role will involve implementing and optimizing microservices to enhance system modularity and facilitate efficient scaling. In addition, you will be tasked with designing and managing databases, both relational and NoSQL, to ensure efficient data storage and retrieval. Optimizing database queries, indexes, and structures will be essential for improving application performance and reliability. Ensuring high code quality by following best practices, conducting code reviews, and enforcing coding standards will also fall under your purview. You will need to implement automated testing strategies and contribute to the setup of CI/CD pipelines to guarantee robust and bug-free code. Monitoring system performance, identifying bottlenecks, and driving optimizations to enhance application responsiveness and throughput will be crucial aspects of your role. Collaboration with DevOps to implement monitoring and logging solutions for effective issue diagnosis and resolution will also be required. You will collaborate closely with cross-functional teams, including frontend engineers, data scientists, and DevOps, to deliver cohesive and efficient solutions. Documenting design patterns, system architecture, processes, and best practices will ensure team alignment and knowledge transfer. To qualify for this position, you should hold a Bachelor's degree in Computer Science, Software Engineering, or a related field, along with a minimum of 3 years of experience in backend development focusing on Java and microservices architecture. Proficiency in relational and NoSQL databases such as MySQL, PostgreSQL, or MongoDB is necessary. Experience with cloud platforms like AWS, GCP, or Azure, and deploying distributed applications is preferred. A solid understanding of RESTful APIs, RPC frameworks, and backend service protocols, along with knowledge of security best practices and a proactive approach to secure code development, are essential. Familiarity with CI/CD pipelines, containerization tools (Docker), and orchestration platforms (Kubernetes) will be advantageous. Excellent problem-solving skills and a collaborative mindset are also desirable traits for this role. Candidates meeting the above requirements and qualifications are encouraged to share their CVs with kraul@paktolus.com for further consideration.,

Remote Work: Hybrid Overview: At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve. You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about – locally and globally. We’ve only begun reimaging the future – for our people, our customers, and the world. Let’s create tomorrow together. A Data Engineer will be responsible for Designs, develops, programs and implements Machine Learning solutions , Implements Artificial/Augmented Intelligence systems/Agentic Workflows/Data Engineer Workflows, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse “big data” sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. A strong understanding of databases, SQL, cloud technologies, and modern data integration and orchestration tools like Azure Data Factory (ADF) are required to succeed in this role. Responsibilities: Integrates state-of-the-art machine learning algorithms as well as the development of new methods Develops tools to support analysis and visualization of large datasets Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data, LLM), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Artificial Intelligence and IoT space Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models Working knowledge of MLOps, LLMs and Agentic AI/Workflows Programming Skills: Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch LLM Expertise: Hands-on experience in training, fine-tuning, and deploying LLMs Foundational Model Knowledge: Strong understanding of open-weight LLM architectures, including training methodologies, fine-tuning techniques, hyperparameter optimization, and model distillation. Data Pipeline Development: Strong understanding of data engineering concepts, feature engineering, and workflow automation using Airflow or Kubeflow. Cloud & MLOps: Experience deploying ML models in cloud environments like AWS, GCP (Google Vertex AI), or Azure using Docker and Kubernetes.Designs and implementation predictive and optimisation models incorporating diverse data types strong in SQL, Azure Data Factory (ADF) Qualifications: Minimum Education: Bachelors, Master's or Ph.D. Degree in Computer Science or Engineering. Minimum Work Experience (years): 1+ years of experience programming with at least one of the following languages: Python, Scala, Go. 1+ years of experience in SQL and data transformation 1+ years of experience in developing distributed systems using open source technologies such as Spark and Dask. 1+ years of experience with relational databases or NoSQL databases running in Linux environments (MySQL, MariaDB, PostgreSQL, MongoDB, Redis). Key Skills and Competencies: Experience working with AWS / Azure / GCP environment is highly desired. Experience in data models in the Retail and Consumer products industry is desired. Experience working on agile projects and understanding of agile concepts is desired. Demonstrated ability to learn new technologies quickly and independently. Excellent verbal and written communication skills, especially in technical communications. Ability to work and achieve stretch goals in a very innovative and fast-paced environment. Ability to work collaboratively in a diverse team environment. Ability to telework Expected travel: Not expected. To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.

As a Golang Backend Developer at our Noida location, you will play a crucial role in developing and maintaining scalable applications using Golang. Your primary responsibilities will include designing high-performance systems, writing clean and efficient code, developing APIs, and optimizing application performance. Collaborating with cross-functional teams, you will ensure that our systems meet business requirements and integrate seamlessly with various technologies. With at least 3 years of experience in Golang development, you will demonstrate strong proficiency in Golang and a solid understanding of Go's concurrency model. Your expertise will extend to working with databases (both SQL and NoSQL), data modeling, RESTful APIs, and microservices architecture. Additionally, your familiarity with version control systems like Git and experience with cloud platforms such as AWS, GCP, or Azure will be valuable assets in this role. Your problem-solving skills, analytical mindset, and ability to write unit and integration tests will contribute to ensuring the reliability and performance optimization of our applications. Effective communication and teamwork are essential as you collaborate with colleagues and contribute to the success of our projects. If you are a motivated individual with a passion for Golang development and a desire to work in a dynamic environment, we invite you to join our team and make a significant impact in our organization.,

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 Consultant Specialist In this role, you will: Contribute to all stages of software development lifecycle Lead a technical team and offer technical help as needed. Should be agile. Design, implement and maintain Java-based applications that can be high-volume and low-latency Analyze user requirements to define business objectives Envisioning system features and functionality Define application objectives and functionality Ensure application designs conform with business goals Develop and test software Identify and resolve any technical issues arising Create detailed design document and present in appropriate architecture forums for approval Propose changes to current Java infrastructure Develop technical designs for application development Develop multimedia applications Write well designed, testable code Conducting software analysis, programming, testing, and debugging Manage Java and Java EE application development Develop documentation to help users Transforming requirements into stipulations Prepare and produce releases of software components Should lead a group of developers to build the software components with great quality Mentor the team members and provide guidance and code reviews Should be capable of providing improvement and innovations to improve the process of build and deployment. Should we well versed with monitoring tools , log analysis, performance analysis to resolve system issues Should propose newer ways of maintaining service resilence. Requirements To be successful in this role, you should meet the following requirements: Nice to have Credit Risk Domain Expertise. Should have working experience in Core Java and J2EE, Spring , Springboot. Should be well versed and have real time experience on Junit, GITHUB, Maven, GIT, MQ. Should be having working experience in connecting and performing operation in Database using Hibernate or Spring JDBC. Nice to have Devops tools like Jenkins and Agile Scrum process and Jira. Contribute to all stages of software development lifecycle Design, implement and maintain Java-based applications that can be high-volume and low-latency Analyze user requirements to define business objectives Envisioning system features and functionality Define application objectives and functionality Ensure application designs conform with business goals Develop and test software Identify and resolve any technical issues arising Create detailed design document and present in appropriate architecture forums for approval. Propose changes to current Java infrastructure Develop technical designs for application development Develop multimedia applications Write well designed, testable code Conducting software analysis, programming, testing, and debugging Develop documentation to help users Transforming requirements into stipulations Prepare and produce releases of software components Support continuous improvement, investigating alternatives and technologies, and presenting for architectural review Experience in mentoring and coaching the team members. The successful candidate will also meet the following requirements: Knowledge of Credit Risk domain would be preferred. Working experience on the Credit Risk management applications will be an added advantage. Knowledge on powerapps(Canvas,Dataverse, power automate) is preferred. Knowledge and experience on Mongo DB would be an added advantage. You’ll achieve more when you join HSBC. www.hsbc.com/careers 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