30073 Gcp Jobs - Page 20

Design, implement, and maintain data pipelines for processing large datasets, ensuring data availability, quality, and efficiency for machine learning model training and inference. Collaborate with data scientists to streamline the deployment of machine learning models, ensuring scalability, performance, and reliability in production environments. Develop and optimize ETL (Extract, Transform, Load) processes, ensuring data flow from various sources into structured data storage systems. Automate ML workflows using ML Ops tools and frameworks (e.g., Kubeflow, MLflow, TensorFlow Extended (TFX)). Ensure effective model monitoring, versioning, and logging to track performance and metrics in a production setting. Collaborate with cross-functional teams to improve data architectures and facilitate the continuous integration and deployment of ML models. Work on data storage solutions, including databases, data lakes, and cloud-based storage systems (e.g., AWS, GCP, Azure). Ensure data security, integrity, and compliance with data governance policies. Perform troubleshooting and root cause analysis on production-level machine learning systems. Skills: Glue, Pyspark, AWS Services, Strong in SQL; Nice to have : Redshift, Knowledge of SAS Dataset Mandatory Competencies DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Docker ETL - ETL - AWS Glue DevOps/Configuration Mgmt - Cloud Platforms - AWS DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes) Database - Sql Server - SQL Packages

About Us: Arrise Solutions (India) Pvt. Ltd. is a premier content provider in the iGaming and betting industry, delivering an innovative, regulated, and mobile-first portfolio. Our offerings span slots, live casino, sports betting, virtual sports, and bingo, designed to provide engaging experiences for customers worldwide. Arrise Solutions (India) Pvt. Ltd. serves as the Indian arm of Arrise Solutions Ltd. Job Description: Arrise Solutions (India) Pvt. Ltd. is seeking a Senior Infrastructure Engineer to join our team. This involves infrastructure provisioning automation, configuration management, tool administration, production system support, application environment maintenance, observability, and internal tool development. You will be actively involved in all aspects of the team's activities. Key Responsibilities: • Architectural Design: Collaborate with senior architects to design scalable, reliable, and secure cloud solutions based on AWS best practices. • AWS Services Implementation: Implement and configure AWS services according to architectural designs, including but not limited to EC2, S3, RDS, Lambda, and VPC. Work closely with development and operations teams to ensure seamless integration of cloud components. • Security and Compliance: Implement and maintain security measures to safeguard cloud environments in all AWS architecture and deployment activities. • Troubleshooting and Optimization: Identify and resolve issues related to performance, scalability, and reliability. Implement monitoring and automation tools to optimize AWS infrastructure and applications. • Documentation: Create and maintain comprehensive documentation for architecture, configurations, and procedures. • Collaboration and Communication:Work closely with development teams to understand application requirements and provide guidance on AWS best practices. Qualifications: We are looking for an experienced Senior Infrastructure Engineer with the following qualifications: • Education: B.E/B.Tech or equivalent qualification. • Experience: 8-11 years in software engineering, including designing, developing, and operating robust and scalable cloud infrastructure services. • Technical Skills: o Hands-on experience with AWS, Google Cloud Platform (GCP), Datacenter, or similar cloud/on-premises platforms. o Linux administration and troubleshooting of Java applications in production. o Maintaining cloud infrastructure using Infrastructure as Code (IaC) with tools like Terraform or equivalent. o Continuous integration, deployment, and orchestration technologies (e.g., GitHub, Artifactory, Docker, Kubernetes, Terraform, Ansible, Jenkins). o Enterprise networking/AWS cloud networking (e.g., firewalls, WAFs, network segregation, VPNs, network ACLs, authentication & authorization services, identity & access management). o Cybersecurity practices, operations, risk management processes, threats, and vulnerabilities, including incident response methodologies. o Monitoring, logging, tracing, and alerting solutions. o Advanced shell scripting knowledge. o Scripting languages: Python, Groovy, Ruby, or equivalent. • Additional Skills: o Excellent verbal and written communication skills. o Experience with startups and fast-paced environments is an advantage. o Experience in DevOps, CI/CD, Configuration, and Release Management areas and relevant tools. WHAT WE OFFER: Driven by a persistence to craft immersive experiences and responsible thrills, our professional team consistently deliver best-in-class services with a dedication to create games that players love time and time again. Professional and personal development Opportunities to progress within a dynamic team. Close and collaborative colleagues OUR VALUES: PERSISTENCE We never give up and are determined to be the best at what we do. RESPECT We value and respect our clients, their players, and our team members, promoting professionalism, integrity and fairness without compromise. OWNERSHIP We take ownership of our work and consistently deliver in a reliable manner; always providing the highest level of quality.

Lead Software Engineer Description We are seeking a Lead Software Engineer to join our dynamic team in India. The ideal candidate will have extensive experience in software development and a proven track record of leading projects and teams. Responsibilities Lead the design and development of software applications. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the quality of applications through code reviews and testing. Mentor and guide junior engineers in best practices and technologies. Troubleshoot and debug applications to optimize performance. Stay up to date with emerging technologies and industry trends. Skills and Qualifications 10-12 years of experience in software development and engineering. Proficiency in programming languages such as Java, Python, or C#. Strong understanding of web technologies (HTML, CSS, JavaScript) and frameworks (React, Angular, etc.). Experience with cloud platforms (AWS, Azure, GCP) and microservices architecture. Familiarity with databases (SQL, NoSQL) and data modeling. Knowledge of Agile methodologies and version control systems (Git). Excellent problem-solving skills and the ability to work under pressure.

About The Role As a Sr. Data Engineer in the Sales Automation Engineering team you should be able to work through the different areas of Data Engineering & Data Architecture including the following: Data Migration - From Hive/other DBs to Salesforce/other DBs and vice versa Data Modeling - Understand existing sources & data models and identify the gaps and building future state architecture Data Pipelines - Building Data Pipelines for several Data Mart/Data Warehouse and Reporting requirements Data Governance - Build the framework for DG & Data Quality Profiling & Reporting What The Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Demonstrate strong knowledge of and ability to operationalize, leading data technologies and best practices. Collaborate with internal business units and data teams on business requirements, data access, processing/transformation and reporting needs and leverage existing and new tools to provide solutions. Build dimensional data models to support business requirements and reporting needs. Design, build and automate the deployment of data pipelines and applications to support reporting and data requirements. Research and recommend technologies and processes to support rapid scale and future state growth initiatives from the data front. Prioritize business needs, leadership questions, and ad-hoc requests for on-time delivery. Collaborate on architecture and technical design discussions to identify and evaluate high impact process initiatives. Work with the team to implement data governance, access control and identify and reduce security risks. Perform and participate in code reviews, peer inspections and technical design/specifications. Develop performance metrics to establish process success and work cross-functionally to consistently and accurately measure success over time Delivers measurable business process improvements while re-engineering key processes and capabilities and maps to future-state vision Prepare documentations and specifications on detailed design. Be able to work in a globally distributed team in an Agile/Scrum approach. Basic Qualifications Bachelor's Degree in computer science or similar technical field of study or equivalent practical experience. 8+ years professional software development experience, including experience in the Data Engineering & Architecture space Interact with product managers, and business stakeholders to understand data needs and help build data infrastructure that scales across the company Very strong SQL skills - know advanced level SQL coding (windows functions, CTEs, dynamic variables, Hierarchical queries, Materialized views etc) Experience with data-driven architecture and systems design knowledge of Hadoop related technologies such as HDFS, Apache Spark, Apache Flink, Hive, and Presto. Good hands on experience with Object Oriented programming languages like Python. Proven experience in large-scale distributed storage and database systems (SQL or NoSQL, e.g. HIVE, MySQL, Cassandra) and data warehousing architecture and data modeling. Working experience in cloud technologies like GCP, AWS, Azure Knowledge of reporting tools like Tableau and/or other BI tools. Preferred Qualifications Python libraries (Apache spark, Scala) Working experience in cloud technologies like GCP, AWS, Azure

Join Us! At Google Operations Center we help Google users and customers solve problems and achieve their goals—all while enjoying a culture focused on improving continuously and being better together. We work hard, we play hard, and we want you to join us! Role Overview As the Google Cloud Support Specialist - Platform, you will provide outstanding technical support for the most prestigious GCP Enhanced customers. This support will be mainly focused on troubleshooting Google Cloud Platform related issues in the customer environment. The right person for this role will have to be able to follow a logical troubleshooting path, to navigate through ambiguous problems and to collect relevant information to provide an outstanding solution for Google Cloud Platform clients. Position Responsibilities Response, diagnosis, resolution and tracking by phone, email and chat of customer support queries. Maintain response and resolution speed as defined by SLOs; Keep high customer satisfaction scores and follow quality standards in 90% of cases. Assist and respond to consults from other Technical Support Representatives through existing systems and tools. Use existing troubleshooting tools and techniques to establish root cause for queries and provide a customer facing root cause assessment. Understand business impact of customer issue report and follow internal issue prioritization guidelines, provide justification on priority for a given single customer report. Perform internal classification queries documenting classes of problems and preventative actions for further retroactive analysis. Reactively (e.g. as a result of a query) file issue reports to Google engineers, collaborate with Google engineers to diagnose customer issues, build documentation, procedures, document desired behavior and/or steps to reproduce, and suggested code-level resolutions for complex product bugs, assist engineers to drive bugs to resolution. Perform community management tasks as needed by the business. Promptly and independently resolve technical incidents and escalations, with effective communication to all stakeholders internally and externally, so that no monitoring is needed by Google engineers. Take cases involving customer-specific requirements on architectural design, provide solutions limited to a particular product (or a subset of product features). Provide high-touch assistance to highest Tier customers, build in-depth understanding of most pressing customer issues and act as an advocate for such issues with Google engineers and Program Managers. Minimum Qualifications Engineering degree in Computer Science or Electronics or related field Excellent English communication skills (both written and oral) and stakeholder management at multiple levels Any Associate level Cloud Certification , preferably GCP Hands-on experience with any Cloud Platform 3~6 years in a customer support experience role working with Serverless platforms, storage and developer tools Basic or intermediate (TBC) coding skill expertise needed in one of the following: Golang, C++, Python or any of the SQL languages Preferred Qualifications Good experience on Relational or Non-Relational DB concepts Good Understanding on core data structures concepts Knowledge about DevOps, CICD and migration of DBs Benefits We support you with competitive wages and comprehensive health care including medical, dental and vision coverage We support your family with gender-neutral baby bonding leave, 14 week birth-parent maternity leave, and generous life, accident and disability insurance minimums Employees who work onsite can enjoy free meals and snacks, and fun onsite experiences At the Google Operations Center, we don't just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our products, and our community. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. Information collected and processed as part of your GOC jobs profile, and any job applications you choose to submit is subject to GOC's Applicant and Candidate Privacy Policy . Thanks for your interest in this opportunity! Our recruitment team will contact you if your profile is a good fit for the role. If you don't hear from us within 2-3 weeks, please consider your application unsuccessful at this time. We value your patience throughout this time. For any questions, feel free to reach out to us at goc-candidate-global@googleoperationscenter.com .

Overview The AI Engineering team at MSCI is seeking a Senior Associate to help build and scale our internal platform for deploying intelligent agents. This platform enables developers and non-technical teams to quickly build, test, and deploy agents that interact with internal APIs and data while respecting entitlements and data boundaries. You will work in close collaboration with engineers across cloud infrastructure, ML ops, and security to ensure the agent platform is robust, flexible, and easy to use. This role requires a passion for platform usability, developer experience, and pragmatic engineering in cross-cloud (Azure + GCP) environments. Responsibilities Implement and improve internal tooling and runtimes for deploying agent-based applications across MSCI teams. Integrate entitlement and data-privacy policies into AI workflows using internal security and identity layers. Develop reusable libraries and interfaces for agents to interact with MSCI services via MCP and additional integrations . Collaborate with UX and internal client teams to build low-friction, high-compliance agent deployment pathways. Contribute to observability, sandboxing, and monitoring capabilities for agent executions and workflows. Qualifications Experience building testing, validation, or observability systems in ML or production software environments. Working knowledge of common agent architectures, LLM prompting strategies, and feedback mechanisms. Comfort working with structured logging, tracing, and evaluation frameworks across GCP or Azure environments. Familiarity with common agentic development platforms like OpenAI agents sdk , google’s adk , langchain , etc Strong analytical mindset with a focus on automation and reproducibility of complex behaviour traces. Demonstrated ability to work across disciplines (engineering, product, risk) to define validation metrics and processes. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

About the Role: We are seeking a highly skilled and principled Responsible AI Evaluator to assess, audit, and ensure the ethical development and deployment of AI models across the enterprise. This role spans traditional ML models, Large Language Models (LLMs), and Generative AI systems, with a strong focus on fairness, transparency, privacy, security, and accountability across multi-cloud environments (AWS, Azure, GCP, etc.). The ideal candidate combines deep technical expertise with a firm grasp of ethical frameworks, regulatory requirements, and responsible AI principles. Key Responsibilities: Model Evaluation & Auditing Evaluate AI/ML, LLM, and GenAI models for bias, fairness, explainability, and robustness. Conduct red-teaming, safety testing, and adversarial analysis across AI pipelines. Perform pre-deployment, post-deployment, and continuous model audits. Responsible AI Frameworks Operationalize and implement RAI principles based on NIST AI RMF, OECD, ISO/IEC 42001, and industry standards. Collaborate with data scientists, legal, compliance, and product teams to enforce responsible AI lifecycle checkpoints. Multi-Cloud Deployment Compliance Ensure AI/ML systems deployed across AWS, Azure, GCP, and hybrid environments meet data residency, compliance, and ethical standards. Evaluate model behavior variability and risk exposure across different cloud providers. Tooling & Automation Build or integrate tools for model explainability (e.g., SHAP, LIME), fairness (AIF360, Fairlearn), and privacy (DP libraries). Leverage LLM-specific eval frameworks (e.g., TruthfulQA, HELM, RAGAS, model-card generators). Documentation & Reporting Produce model cards, system cards, and impact assessments (e.g., DSA, DPIA). Deliver detailed evaluation reports, risk scores, and mitigation recommendations for internal and external stakeholders. Required Qualifications: 5+ years of experience in AI/ML evaluation, testing, or assurance roles. Proven experience with LLMs (e.g., GPT, Claude, LLaMA) and generative AI (e.g., DALL·E, Midjourney, custom diffusion models). Strong knowledge of fairness, bias detection, differential privacy, red-teaming, model transparency techniques. Familiarity with AI regulation and governance (EU AI Act, FTC guidance, DSA, HIPAA, etc.). Experience with cloud platforms (AWS, Azure, GCP) and deploying/evaluating AI services in distributed architectures. Proficiency in Python and libraries such as scikit-learn, Transformers, LangChain, MLflow, PyTorch, etc. Strong communication and reporting skills, with the ability to translate technical findings into business risk language. Preferred Qualifications: Master’s or PhD in Computer Science, Data Science, Ethics, or related field. Prior work with model evaluation benchmarks and large-scale LLM testing frameworks. Knowledge of secure and privacy-preserving ML techniques (e.g., federated learning, homomorphic encryption). Experience contributing to open-source Responsible AI tools or policy frameworks. Why Join Us: Work at the cutting edge of AI ethics, safety, and trust. Collaborate with interdisciplinary teams across engineering, legal, and policy. Influence how AI is responsibly used across industries and sectors. Shape a safer and more accountable AI future.

Job Overview: We are looking for a highly skilled Python Developer with strong experience in building both web and mobile app crawlers. The ideal candidate should have in-depth knowledge of Scrapy, Selenium, REST APIs, proxy rotation, and techniques to bypass anti-scraping mechanisms. You'll be responsible for building scalable, stealthy crawlers that extract data from websites and mobile apps (via APIs or reverse engineering traffic). Responsibilities: Develop and maintain web crawlers using Scrapy, Selenium, and custom spiders. Build and manage mobile app crawlers by intercepting and decoding API requests, using tools like mitmproxy, Charles Proxy, or Burp Suite. Handle proxy rotation, user-agent spoofing, cookie/session management, and headless browsers. Monitor and adapt to changing structures of target websites and apps to maintain scraping accuracy. Optimize performance, manage rate limits, and avoid detection (CAPTCHA, IP blocks). Structure and store extracted data in JSON, CSV, or databases. Maintain logs, error tracking, and reprocessing pipelines for failed jobs. Required Skills: Strong expertise in Python with deep knowledge of Scrapy, Selenium, and requests/BeautifulSoup. Experience with mobile app traffic analysis using proxies/sniffers. Understanding of RESTful APIs, HTTP methods, and JSON/XML formats. Familiarity with proxy services, rotating residential/datacenter IPs, and anti-bot evasion. Solid grasp of HTML, DOM parsing, and browser automation. Hands-on with Git, Linux command line, and virtual environments. Preferred Skills: Experience with tools like mitmproxy, Charles Proxy, Burp Suite. Familiarity with headless browsers like Puppeteer, Playwright (optional). Ability to reverse engineer API calls from Android/iOS apps. Knowledge of Docker, cloud deployment (AWS/GCP), and job schedulers. Basic understanding of captcha-solving services (2Captcha, CapMonster, etc.). Bonus Points: Built crawlers for domains like e-commerce, travel, social media, or financial data. Experience with CI/CD pipelines for automated crawling workflows. Knowledge of data cleaning, ETL, or streaming pipelines (Kafka, Airflow, etc.).

Aindriya is on the lookout for a passionate and skilled AI Engineer to join our innovative team. If you're excited about building intelligent systems that create real impact, we want to hear from you! Responsibilities Design, build, and optimize AI/ML models for real-world applications Collaborate with cross-functional teams to integrate models into production systems Expertise in Agentic AI and business automation Work on NLP, computer vision, or recommendation systems depending on project needs Improve performance and scalability of existing AI pipelines Keep up with the latest trends in AI, machine learning, and deep learning Requirements 2+ years of experience in AI/ML development Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) Solid understanding of algorithms, data preprocessing, and model evaluation Familiarity with cloud services like AWS, GCP, or Azure Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field Bonus Skills Experience in deploying ML models to production environments MLOps experience (Docker, CI/CD, model monitoring) Contributions to open-source AI projects or research How to Apply Send your CV and relevant work samples to hr@aindriya.co.in Subject Line: "AI Engineer Application – [Your Name]"

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Job Title: Full Stack Engineer Experience Level: 5–9Years Employment Type: [Full-time] About The Role We’re looking for experienced Full Stack Engineers to join our growing team. You’ll play a key role in building highly interactive, AI-driven applications—from chat interfaces and operator-style workflows to dynamic dashboards and web/mobile apps. If you thrive in fast-paced environments, enjoy working across the stack, and are passionate about creating seamless user experiences, we’d love to hear from you. Key Responsibilities Design and develop end-to-end solutions across web and mobile platforms Create intelligent, AI-driven interfaces such as chat and dashboard experiences Build and maintain scalable and maintainable front-end and back-end architecture Collaborate with cross-functional teams on design, architecture, and product decisions Optimize applications for performance and scalability Write clean, efficient, and well-documented code Core Skillset Frontend React (Vanilla with Vite or frameworks like Next.js) TypeScript Component libraries (e.g., ShadCN/UI) Tailwind CSS React Server Components & SSR State Management: Zustand, Tanstack Query Schema Validation: Zod Forms & Data Viz: React Hook Form, ReCharts, Nivo Backend Node.js ORMs: Prisma, Drizzle Data Querying: Server Actions, Tanstack Query Databases: PostgreSQL, MongoDB DevOps & Cloud Docker & Kubernetes CI/CD with GitHub Actions Experience with cloud platforms: AWS, Azure, GCP Bonus Python scripting or backend experience Building chat interfaces or operator-style workflows Experience with real-time systems or complex dashboards Qualification - BE/BTech or MCA

Data Engineer ( Indore ) 🕒 Experience: 5+ years 💼 Type: Full-time Are you passionate about building scalable data pipelines and working with real-time streaming platforms? Join our growing team as a Data Engineer and help power next-gen data solutions! 🔧 Key Responsibilities: Design and maintain real-time data pipelines using Apache Kafka Write efficient and optimized SQL queries for data extraction and transformation Build robust ETL/ELT processes for structured & unstructured data Collaborate with analysts, data scientists & devs to deliver insights Ensure data quality, security & performance optimization Integrate with tools like Spark, Airflow, or Snowflake (as applicable) 🧠 Skills We Value: Proficient in Apache Kafka , Kafka Streams or Kafka Connect Strong in SQL, Python/Scala , and cloud platforms (AWS/GCP/Azure) Experience with data lakes, message queues, and large-scale systems A problem-solving mindset and passion for clean, efficient code ✨ Why Work With Us? Exciting projects with global clients Collaborative, innovation-driven environment Flexible working options Competitive compensation 📩 Apply now yukta.sengar@in.spundan.com or tag someone perfect for this role!

Jubilant Pharma Limited is a global integrated pharmaceutical company offering a wide range of products and services to its customers across geographies. We organise our business into two segments, namely, Specialty Pharmaceuticals, comprising Radiopharmaceuticals (including Radio pharmacies), Contract Manufacturing of Sterile Injectable, Non-sterile & Allergy Therapy Products, and Generics & APIs, comprising Solid Dosage Formulations & Active Pharmaceutical Ingredients. Jubilant Generics (JGL) is a wholly - owned subsidiary of Jubilant Pharma. JGL in India has Research & Development units at Noida and Mysore. It has two manufacturing facilities one at Mysore, Karnataka and another at Roorkee, Uttarakhand, engaged in APIs and Dosage manufacturing, respectively. The manufacturing location at Mysore is spread over 69 acres and it’s a USFDA approved site engaged in manufacturing of APIs, and caters to the sales worldwide. API portfolio focusses on Lifestyle driven Therapeutic Areas (CVS, CNS) and targets complex and newly approved molecules. The company is the market leader in four APIs and is amongst the top three players for another three APIs in its portfolio helping it maintain a high contribution margin. The manufacturing location at Roorkee, Uttarakhand is state of the art facility and is audited and approved by USFDA, Japan PMDA, UK MHRA, TGA, WHO and Brazil ANVISA. This business focusses on B2B model for EU, Canada and emerging markets. Both manufacturing units are backward- integrated and are supported by around 500 research and development professionals based at Noida and Mysore. R&D works on Development of new products in API, Solid Dosage Formulations of Oral Solid, Sterile Injectable, Semi-Solids Ointments, Creams and Liquids. All BA/BE studies are done In house at our 80 Bed facility which is inspected and having approvals /certifications from The Drugs Controller General (India) and has global regulatory accreditations including USFDA, EMEA, ANVISA (Brazil), INFRAMED (Portugal Authority), NPRA(Malaysia), AGES MEA (Austria) for GCP and NABL, CAP accreditations for Path lab services. JGL’s full-fledged Regulatory Affairs & IPR professionals ensures unique portfolio of patents and product filings in regulatory and non-regulatory market. Revenue of Jubilant Pharma is constantly increasing and during the Financial Year 2018 -19 it was INR 53,240 Million as compared to INR 39,950 Million during the Financial Year 2017-18. Kindly refer www.jubilantpharma.com for more information about organization. Scope of the role Scope - This role is responsible for Responsibilities – Achievement of set targets. Maintaining set call Average/coverage. Complete use of allotted resources. Increasing prescriber base Focus on target customers. Maintaining call average and customer coverage Increasing PCPM. Timely reporting. Ensuring ROI Relationships around the role Reporting to (Business) Regional Sales Manager / Sr. Regional Sales Manager Reporting to (Matrix) NA No of Reportees Direct NA Indirect NA Key External Stakeholder(s) Doctors, Stockiest, Retailers, CFA staff, Fellow professionals, institutional administrators Key Internal Stakeholder(s) RSM, ZSM, BDM, NSM / SM, PMT, HR & Sales Admin Competencies critical for the role Scientific/ Technical Competencies Proficiency level Convincing ability Presentation Selling Communication Behavioral Analytical ability PR Skills Qualifications Academic qualifications and experience required for the role Required Educational Qualification & Relevant experience Desirable - B.Pharm / D.Pharm / BSc. + MBA Essential - Graduates in any discipline Experience: 6 Months. to 2 years as a Medical Rep in a reputed organization. Age should be around 28 years

About The Role As a Data Engineer in the Edge of Technology Center, you will play a critical role in designing and implementing scalable data infrastructure to power advanced analytics, AI/ML, and business intelligence. This position demands a hands-on technologist who can architect reliable pipelines, manage real-time event streams, and ensure smooth data operations across cloud-native environments. You will work closely with cross functional teams to enable data-driven decision- making and innovation across the organization. Key Responsibilities Design, implement, and maintain robust ETL/ELT pipelines using tools like Argo Workflows or Apache Airflow. Manage and execute database schema changes with Alembic or Liquibase, ensuring data consistency. Configure and optimize distributed query engines like Trino and AWS Athena for analytics. Deploy and manage containerized workloads on AWS EKS or GCP GKE using Docker, Helmfile, and Argo CD. Build data lakes/warehouses on AWS S3 and implement performant storage using Apache Iceberg. Use Terraform and other IaC tools to automate cloud infrastructure provisioning securely. Develop CI/CD pipelines with GitHub Actions to support rapid and reliable deployments. Architect and maintain Kafka-based real-time event-driven systems using Apicurio and AVRO. Collaborate with product, analytics, and engineering teams to define and deliver data solutions. Monitor and troubleshoot data systems for performance and reliability issues using observability tools (e.g., Prometheus, Grafana). Document data flows and maintain technical documentation to support scalability and knowledge sharing. Key Deliverables Fully operational ETL/ELT pipelines supporting high-volume, low-latency data processing. Zero-downtime schema migrations with consistent performance across environments. Distributed query engines tuned for large-scale analytics with minimal response time. Reliable containerized deployments in Kubernetes using GitOps methodologies. Kafka-based real-time data ingestion pipelines with consistent schema validation. Infrastructure deployed and maintained as code using Terraform and version control. Automated CI/CD processes ensuring fast, high-quality code releases. Cross-functional project delivery aligned with business requirements. Well-maintained monitoring dashboards and alerting for proactive issue resolution. Internal documentation and runbooks for operational continuity and scalability. Qualifications Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field from a recognized institution. Technical Skills Orchestration Tools: Argo Workflows, Apache Airflow Database Migration: Alembic, Liquibase SQL Engines: Trino, AWS Athena Containers & Orchestration: Docker, AWS EKS, GCP GKE Data Storage: AWS S3, Apache Iceberg Relational Databases: Postgres, MySQL, Aurora Infrastructure Automation: Terraform (or equivalent IaC tools) CI/CD: GitHub Actions or similar GitOps Tools: Argo CD, Helmfile Event Streaming: Kafka, Apicurio, AVRO Languages: Python, Bash Monitoring: Prometheus, Grafana (preferred) Soft Skills Strong analytical and problem-solving capabilities in complex technical environments. Excellent written and verbal communication skills to interact with both technical and non- technical stakeholders. Self-motivated, detail-oriented, and proactive in identifying improvement opportunities. Team player with a collaborative approach and eagerness to mentor junior team members. High adaptability to new technologies and dynamic business needs. Effective project management and time prioritization. Strong documentation skills for maintaining system clarity. Ability to translate business problems into data solutions efficiently. Benefits Competitive salary and benefits package in a globally operating company. Opportunities for professional growth and involvement in diverse projects. Dynamic and collaborative work environment Why You'll Love Working With Us Encardio offers a thriving environment where innovation and collaboration are essential. You'll be part of a diverse team shaping the future of infrastructure globally. Your work will directly contribute to some of the world's most ambitious and ground-breaking engineering projects. Encardio is an equal-opportunity employer committed to diversity and inclusion. How To Apply Please submit your CV and cover letter outlining your suitability for the role at humanresources@encardio.com

Job Title: AI Engineer – GenAI & ML Solutions Location: Pune / Mumbai (Hybrid Work Model) Experience: 2–4 Years (Minimum 2 Years in AI Development) Industry: Credit Rating & Financial Analytics About Us: Join a leading global credit rating and financial analytics powerhouse where innovation meets finance! We leverage cutting-edge AI and analytics to deliver state of the art solutions. As we embark on our next growth phase, we’re looking for a passionate AI Engineer to propel our AI capabilities into the future — redefining how financial intelligence is powered and delivered. Why Join Us? Be at the forefront of AI innovation in finance technology with exposure to next-gen GenAI techniques. Collaborate with dynamic global teams spanning finance, technology, and client solutions. Work in a hybrid setup in Pune or Mumbai, blending flexibility with the spirit of teamwork. Opportunity to directly influence client-facing AI solutions impacting real-world business outcomes. Grow your career in an environment that champions best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms. What You’ll Do: Develop and deploy advanced AI solutions using the latest Generative AI techniques including: Retrieval-Augmented Generation (RAG) pipelines. Designing and building Agentic AI systems to automate complex decision-making workflows. Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content generation. Build scalable AI workflows, adhering to robust engineering and code quality standards. Lead end-to-end AI solution development lifecycle — from prototyping and experimentation to deployment on cloud platforms (AWS, Azure, or GCP). Collaborate closely with cross-functional global teams — financial analysts, technology architects, and client stakeholders to translate business challenges into AI-driven solutions. Continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art. What We’re Looking For: Experience & Skills: 4 to 7 years of experience in software engineering/development with a minimum 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies — RAG frameworks, agent-based AI design patterns, fine-tuning techniques for SLM. Strong programming skills in Python with a focus on clean, maintainable, and performant code. Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, GCP) with familiarity in containerization, orchestration, and CI/CD pipelines. Having a public Github code repository or Kaggle profile will be a big plus. Solid understanding of data structures, algorithms, software design principles, and scalable system design. Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus. Decent communication skills to effectively collaborate across global teams and handle client interactions. Self-driven, proactive mindset with a passion for problem-solving and innovation. Educational Background: - Bachelor’s or Master’s degree from premier Indian institutes (IITs, IISc, NITs, BITS, IIITs etc.) in: - Computer Science - Any Engineering discipline - Mathematics or related quantitative fields.

Who We Are Together, we’re on a mission to make good health more affordable and accessible, to help millions around the world enjoy healthier lives. It’s a mission that bonds our people across nearly 60 countries and a rich, diverse variety of nationalities and backgrounds. Working here means working with the world’s leading manufacturer of generic medicines, and the proud producer of many of the products on the World Health Organization’s Essential Medicines List. Today, at least 200 million people around the world take one of our medicines every single day. An amazing number, but we’re always looking for new ways to continue making a difference, and new people to make a difference with. How You’ll Spend Your Day To be qualified by education, experience and training to assume responsibility for proper conduct of the study. Before study start: Comply with all applicable regulations, complete required forms. Comply with requirements of the GCP, EC/Sponsor agreed protocol and Lotus SOP’s applicable regulatory requirements and the ethical principles which have their origin in the declaration Of Helsinki Read and understand the IB or appropriate information on the drug prior to study start. Review and timely inputs on the protocol (eg dosing information, contradictions, warnings, precautions, adverse events, drug interaction) CRF, ICD and any other document as required for the study. Obtaining ethics committee approval and clarifying the issues / questions raised by the EC. Ensure that all study personnel assisting in the trial are aware of their obligations and have been trained on the protocol, study plan and trial related duties and functions respectively to perform duties assigned to them. Overall responsible for supervising study related activities. To provide timely inputs in the protocol and Informed Consent (for e.g.dosing information, contraindications, warnings, precautions, adverse events, and drug interactions) and thus ensure it is scientifically sound and gives a clear detailed description of trial related activities. To submit protocol and other required study related documents to the Ethics Committee (as per the Ethics Committee SOP and ensure study commencement only after obtaining IEC and DCGI approval. Ensure all conditions are fulfilled prior to commencement of the study in case of conditional approval of IEC. The Screening Physician shall co-ordinate screening activities in the respective clinical centers Responsible for screening volunteers for clinical study, and to decide the eligibility of a subject based on detailed history, physical examination, radiological, and electrocardiograph and laboratory parameters. Maintain the records of screening procedures as per GCP and other applicable regulatory requirement. Counsel subjects and refer to appropriate hospitals those who are found to have clinically significant abnormalities. Your Experience And Qualifications MBBS OR MD 10+ Years of experience into BA/BE Studies Teva’s Equal Employment Opportunity Commitment Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience. Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, genetic information, marital status, sexual orientation, gender identity or expression, ancestry, national or ethnic origin, citizenship status, military status or status as a disabled or protected veteran, or any legally recognized status entitled to protection under applicable federal, state, or local laws.

Job Title: Senior AI Engineer – GenAI & ML Solutions Location: Pune / Mumbai (Hybrid Work Model) Experience: 4–7 Years (Minimum 2 Years in AI Development) Industry: Credit Rating & Financial Analytics About Us: Join a leading global credit rating and financial analytics powerhouse where innovation meets finance! We leverage cutting-edge AI and analytics to deliver state of the art solutions. As we embark on our next growth phase, we’re looking for a passionate AI Engineer to propel our AI capabilities into the future — redefining how financial intelligence is powered and delivered. Why Join Us? Be at the forefront of AI innovation in finance technology with exposure to next-gen GenAI techniques. Collaborate with dynamic global teams spanning finance, technology, and client solutions. Work in a hybrid setup in Pune or Mumbai, blending flexibility with the spirit of teamwork. Opportunity to directly influence client-facing AI solutions impacting real-world business outcomes. Grow your career in an environment that champions best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms. What You’ll Do: Develop and deploy advanced AI solutions using the latest Generative AI techniques including: Retrieval-Augmented Generation (RAG) pipelines. Designing and building Agentic AI systems to automate complex decision-making workflows. Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content generation. Build scalable AI workflows, adhering to robust engineering and code quality standards. Lead end-to-end AI solution development lifecycle — from prototyping and experimentation to deployment on cloud platforms (AWS, Azure, or GCP). Collaborate closely with cross-functional global teams — financial analysts, technology architects, and client stakeholders — to translate business challenges into AI-driven solutions. Continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art. What We’re Looking For: Experience & Skills: 4 to 7 years of experience in software engineering/development with a minimum 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies — RAG frameworks, agent-based AI design patterns, fine-tuning techniques for SLM. Strong programming skills in Python with a focus on clean, maintainable, and performant code. Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, GCP) with familiarity in containerization, orchestration, and CI/CD pipelines. Having a public Github code repository or Kaggle profile will be a big plus. Solid understanding of data structures, algorithms, software design principles, and scalable system design. Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus. Decent communication skills to effectively collaborate across global teams and handle client interactions. Self-driven, proactive mindset with a passion for problem-solving and innovation. Educational Background: - Bachelor’s or Master’s degree from premier Indian institutes (IITs, IISc, NITs, BITS, IIITs etc.) in: - Computer Science - Any Engineering discipline - Mathematics or related quantitative fields.

Job Title: AI/ML Engineer – Python (LLM, RAG, LangChain, LlamaIndex) Location: Pune Experience: 1-2 Years Employment Type: Full-time Working Mode : Work from office Working Day : Monday to Friday About The Role We are looking for a highly skilled AI/ML Engineer with strong Python expertise and hands-on experience in developing LLM-based applications. The ideal candidate should be proficient with Retrieval-Augmented Generation (RAG), LangChain, and LlamaIndex, and be passionate about building cutting-edge AI systems that combine machine learning with advanced language models. Key Responsibilities Design, develop, and deploy LLM-powered applications using frameworks like LangChain and LlamaIndex. Implement and optimize RAG pipelines to enable efficient and scalable retrieval and generation workflows. Fine-tune and integrate large language models (LLMs) such as GPT, LLaMA, Mistral, etc. Build and maintain vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and context augmentation. Work with unstructured data (documents, PDFs, web data) to extract and process meaningful content for use in AI applications. Collaborate with data scientists, product teams, and backend engineers to deploy AI features into scalable production systems. Monitor performance of deployed models and pipelines; continuously improve based on feedback and usage analytics. Stay updated with the latest developments in generative AI, prompt engineering, and open-source LLM tools. Required Skills & Experience 1+ years of hands-on experience in Python development for AI/ML applications. Solid understanding of large language models, prompt engineering, and model fine-tuning. Proficient with LangChain and LlamaIndex for building composable LLM workflows. Experience building RAG systems, including retrieval, chunking, embedding, and context injection. Familiarity with vector stores such as FAISS, Chroma, Weaviate, or Pinecone. Experience with Hugging Face Transformers, OpenAI, or similar model providers. Good understanding of REST APIs, microservices architecture, and deploying AI services in production. Nice To Have Exposure to cloud platforms (AWS, Azure, or GCP) and managed AI/ML services. Experience with LangGraph, AutoGen, or similar agent orchestration frameworks. Working knowledge of MLOps tools like MLflow, DVC, or Kubeflow. Understanding of data privacy, security, and ethical AI principles. Computer Vision Qualification: BE/Btech/MCA/MSC Benefits Work with state-of-the-art AI and LLM technologies Access to training, certifications, and conferences in AI/ML Collaborative and innovative work culture

We are seeking a Senior QA Automation Engineer with 9+ Years of experience with deep expertise in UI and API automation, specializing in Playwright. The ideal candidate will drive quality initiatives across end-to-end, integration, performance, and accessibility testing, ensuring robust and scalable solutions for our software products. Essential Functions Key Responsibilities: Exp: 9 to 15 years Design, develop, and maintain automated test scripts for UI and API using Playwright and JavaScript. Lead end-to-end (E2E), integration, and performance testing initiatives for web applications. Implement and maintain visual and snapshot testing strategies for comprehensive UI validation. Champion and execute accessibility testing using automated tools, ensuring compliance with accessibility standards. Collaborate with cross-functional teams to define QA strategies, document test cases, and manage the release lifecycle. Apply BDD (Behavior-Driven Development) practices and contribute to the evolution of test automation frameworks. Participate in code reviews, provide feedback, and ensure best practices in test automation and code quality. Work within cloud environments (GCP, Azure, or AWS) for test execution and infrastructure management. Mentor junior team members and contribute to continuous process improvement. Qualifications Required Skills & Qualifications: 9+ years of professional experience in UI and API test automation. Proven hands-on expertise with Playwright for E2E, integration, and performance testing. Experience with visual and snapshot testing for UI validation. Demonstrated leadership in accessibility testing using automated tools. Strong understanding of QA methodologies, test case documentation, and release lifecycle management. Proficiency in JavaScript and modern development workflows. Solid grasp of BDD practices and experience implementing them in automation frameworks. In-depth knowledge of software QA tools, processes, and testing strategies. Familiarity with object-oriented and functional programming principles. Practical experience with cloud platforms (GCP, Azure, AWS). Understanding of the code review process and effective collaboration in cross-functional teams. Excellent communication skills; at least intermediate proficiency in spoken English. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Would be a plus Nice To Have Experience with Jenkins or any other CI/CD tool for automated build and deployment pipelines. Advanced cloud experience, preferably with Google Cloud Platform (GCP). Previous work in ecommerce domains. We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About Us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

About the Role: We are looking for a skilled Site Reliability Engineer (SRE) to join our team and help us ensure the reliability, scalability, and performance of our critical systems. As an SRE, you will work closely with development and operations teams to build and maintain highly available services, automate operational tasks, and monitor system health. Key Responsibilities: Design, implement, and maintain scalable and reliable infrastructure for production systems. Automate repetitive operational tasks, deployments, and monitoring. Collaborate with software engineering teams to build reliable and efficient services. Develop and maintain tools for system monitoring, alerting, and incident response. Participate in on-call rotations and manage incident response to minimize downtime. Analyze system performance and identify bottlenecks or failure points. Develop and implement disaster recovery and backup strategies. Advocate for reliability, availability, and performance best practices throughout the engineering teams. Document processes, architecture, and troubleshooting guides. Required Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience. Proven 5+ years of experience in Site Reliability Engineering with Tools like Grafana, and Prometheus Experience with Docker, Kubernetes, and Terraform Strong knowledge of Linux/Unix systems and networking fundamentals. Proficiency with scripting and programming languages such as Python, Go, Bash, or Ruby. Experience with cloud platforms like AWS, GCP, or Azure.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position : Database & Cloud Engineer Experience : Maximum 7 years Key Responsibilities: Plan, design, and implement database solutions within cloud environments including AWS, Azure, or GCP, aligning with business needs and performance requirements. Actively monitor database performance, ensure robust backup strategies, disaster recovery planning, and high availability configurations. Continuously optimize database structures, schemas, indexes, and queries to enhance performance, efficiency, and reliability. Ensure adherence to security best practices, regulatory compliance standards, and data governance policies across all cloud database implementations. Engage effectively with developers, DevOps teams, and stakeholders to execute database migrations, integration projects, and deliver seamless system interoperability. Skills Required: Extensive experience managing relational and non-relational databases such as MySQL, PostgreSQL, Oracle, SQL Server, MongoDB. Proven hands-on experience with major cloud platforms (AWS, Azure, or GCP) and specific expertise in cloud-native database solutions. Proficiency with managed cloud database services including AWS RDS, Azure SQL Database, or Google Cloud SQL. Deep understanding of database architecture, schema design, performance tuning methodologies, and comprehensive security measures. Strong automation skills using scripting and tools like Terraform, Ansible, CloudFormation, or similar technologies. Excellent analytical and problem-solving capabilities with strong attention to detail and outstanding communication and collaboration skills. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. We are seeking a seasoned Engineering Manager (M3 Level) to join our dynamic AI team. As a manager, you will lead a team of talented engineers, driving technical excellence, fostering a culture of ownership, and ensuring the successful delivery of high-impact complex projects. You will be responsible for guiding technical decisions, managing team performance, and aligning engineering efforts with business goals. Responsibilities: Technical Leadership: Experience in AI, modeling and LLM domain with hand on experience with tools like looker, cognos and other analytics tools Provide technical leadership and direction for major projects, ensuring alignment with business goals and industry best practices. You are hands-on with code and can jump in to help the team. You maintain high technical bar, closely involved in design and architecture decisions, code reviews, helping your engineers to optimize their code, maintaining high standards of code quality. Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications. Ensure accountability for the team’s technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, leverage CoPilot). Play a pivotal role in the R.I.D.E. (Review, Inspect, Decide, Execute) framework. Understand CI/CD pipelines from build, test, to deploy phases. Team Management: Foster a culture of service ownership and enhance team engagement. Drive succession planning and engineering efficiency, focusing on quality and developer experience through data-driven approaches. Promote a growth mindset, understanding and driving organizational change. Actively seek opportunities for team growth and cross-functional collaboration. Lead cross-functional teams to design, develop, and deliver high-impact software projects on time and within budget. Actively seek opportunities for the team to grow within and across the organization. Works and guides the team on how to operate in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production. Coaching and Development: Grow and develop the team technically and with a quality mindset, providing strong and actionable feedback. Provide technical mentorship and guidance to engineers at all levels, fostering a culture of learning, collaboration, and continuous improvement. Execution Excellence: Manage team workload and capacity, setting priorities and managing risks and tradeoffs. Align team efforts with the strategic direction of the company, understanding the big picture and business needs. Demonstrate engineering excellence and service ownership, including cost and quality management of services, and effective production management. Collaborate effectively with stakeholders across Product, TPM, Security, Cloud, and other teams. Make deployment decisions with appropriate risk mitigation. Qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development with couple of years in AI and ML 5 years of experience in a technical leadership role, overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. 5 years of experience building and developing infrastructure or distributed systems. Experience in SAAS Enterprises Proven experience in leading engineering teams and driving technical decisions. Strong understanding of engineering best practices and service-oriented architecture. Excellent communication and leadership skills, with a demonstrated ability to influence and drive change. Experience with cloud technologies (Azure, AWS, GCP) and CI/CD pipelines. Proven track record of managing high-impact projects and delivering results. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com

We are seeking a Senior QA Automation Engineer with 9+ Years of experience with deep expertise in UI and API automation, specializing in Playwright. The ideal candidate will drive quality initiatives across end-to-end, integration, performance, and accessibility testing, ensuring robust and scalable solutions for our software products. Responsibilities Key Responsibilities: Exp: 9 to 15 years Design, develop, and maintain automated test scripts for UI and API using Playwright and JavaScript. Lead end-to-end (E2E), integration, and performance testing initiatives for web applications. Implement and maintain visual and snapshot testing strategies for comprehensive UI validation. Champion and execute accessibility testing using automated tools, ensuring compliance with accessibility standards. Collaborate with cross-functional teams to define QA strategies, document test cases, and manage the release lifecycle. Apply BDD (Behavior-Driven Development) practices and contribute to the evolution of test automation frameworks. Participate in code reviews, provide feedback, and ensure best practices in test automation and code quality. Work within cloud environments (GCP, Azure, or AWS) for test execution and infrastructure management. Mentor junior team members and contribute to continuous process improvement. Requirements Required Skills & Qualifications: 9+ years of professional experience in UI and API test automation. Proven hands-on expertise with Playwright for E2E, integration, and performance testing. Experience with visual and snapshot testing for UI validation. Demonstrated leadership in accessibility testing using automated tools. Strong understanding of QA methodologies, test case documentation, and release lifecycle management. Proficiency in JavaScript and modern development workflows. Solid grasp of BDD practices and experience implementing them in automation frameworks. In-depth knowledge of software QA tools, processes, and testing strategies. Familiarity with object-oriented and functional programming principles. Practical experience with cloud platforms (GCP, Azure, AWS). Understanding of the code review process and effective collaboration in cross-functional teams. Excellent communication skills; at least intermediate proficiency in spoken English. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Nice to have Nice To Have Experience with Jenkins or any other CI/CD tool for automated build and deployment pipelines. Advanced cloud experience, preferably with Google Cloud Platform (GCP). Previous work in ecommerce domains. We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About Us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🚀 We’re Hiring: Data Network Engineer Location: BANGLORE Company: KerryMe India Experience: 5 Years+ Employment Type: Full-Time Are you passionate about building and managing reliable, secure, and high-performance data networks? We’re looking for a Data Network Engineer to join our growing tech team! 🔧 What You’ll Do: Design, implement, and manage enterprise data networks (LAN, WAN, VPN) Monitor network performance and troubleshoot issues Ensure network security and compliance standards Collaborate with cross-functional teams to support business infrastructure Optimize routing protocols, firewalls, and switching technologies ✅ Requirements: Bachelor’s in Computer Science, IT, or related field Strong experience with Cisco/Juniper/Aruba networks Hands-on with routing protocols (BGP, OSPF, EIGRP) Network certification preferred (CCNA/CCNP) Familiarity with cloud networking (AWS/Azure/GCP) is a plus 🌟 Why Join Us? Work with a passionate and innovative team Competitive salary and benefits Opportunities for growth and certifications Cutting-edge technology projects 📩 Apply now or tag someone who would be a great fit! Send your resume to: ishan@kerryme.in #Hiring #NetworkEngineer #ITJobs #DataNetworkEngineer #LinkedInJobs #KerryMeIndia

Job Summary: We are seeking a skilled and motivated Java Developer with strong expertise in Spring Boot and prior experience in the banking or financial services domain. The ideal candidate will be responsible for designing, developing, and maintaining backend services for enterprise applications. This is a full-time, on-site role based in Mohali, with occasional travel based on project/client needs. Key Responsibilities: Develop, test, and maintain backend services and APIs using Java and Spring Boot Collaborate with front-end developers, QA engineers, and product teams to deliver high-quality solutions Ensure best practices in code quality, security, and performance Work closely with clients to understand business requirements and implement them effectively Troubleshoot and resolve technical issues during development and deployment Participate in code reviews, daily stand-ups, and project planning meetings Travel to client locations if required, based on project needs Required Skills: 4+ years of hands-on experience in Java development Proficiency in Spring Boot and related technologies (Spring MVC, JPA, etc.) Strong experience working in the banking or financial domain (mandatory) Good understanding of RESTful APIs, microservices architecture, and database systems Familiarity with tools like Git, Maven, Jenkins, JIRA, etc. Strong problem-solving, debugging, and communication skills Preferred Qualifications: Experience working in Agile/Scrum teams Exposure to cloud platforms (AWS, Azure, or GCP) is a plus Bachelor's degree in Computer Science, Information Technology, or related field

Role - Cloud Database Engineer IV Skills - MS SQl + Cloud + Any secondary DB Shift - Should be ok for rotational - 24x7 Experience -Atleast 12 yrs of relevant exp. Job Profile Summary The Cloud Database Engineer Perform database engineering and administration activities including design, planning, configuration, monitoring, automation, self- serviceability, alerting, and space management, database backup and recovery. Plan computerized databases, including base definition, structure, documentation, long- range requirements, operational guidelines, and protection with a capacity to lead and advise on migration and modernization, discover, and execute workload migrations to Cloud (AWS/Azure/GCP). Key Responsibilities List Create, maintain, and use Standard Operating Procedures (SOP’s) for migration execution and ensure long term technical viability and optimization of production deployments and administration. Engage, Consult and Deliver based on interactive customer communications in streamlining project deliverables and scope of work. Capacity Planning: Forecast future database growth based on usage trends and plan for hardware and storage requirements accordingly to ensure scalability and optimal performance. Plan, Create, Manage and Deploy Effective High Availability and Disaster Recovery strategy/Runbooks Patch Management and Upgrades: Plan and execute Database software upgrades, patches, and service packs. Troubleshooting and Issue Resolution: Investigate and resolve complex database-related issues, including data corruption, performance problems, and connectivity challenges. Automation and Scripting: Contribute to automation scripts and tools to streamline repetitive tasks, improve efficiency, and reduce the risk of human errors. Monitoring and Alerting: Set up monitoring and alerting systems to proactively identify and address potential database issues before they become critical. Performance Analysis and Reporting: Generate performance reports and analysis for stakeholders and management to provide insights into the database environment's health and performance. Documentation: Maintain up-to-date documentation of database configurations, procedures, and troubleshooting steps Ticket Handling: Work to resolve Incident, Changes and Service request under the agreed client SLA. Problem Management: Responsible in resolving problem tickets by creating detailed RCA reports Participate in 24X7 production support for Database Operations. Hand’s on with using cloud tech tools such as AWS DMS, SMS, App Migration Service, Migration Hub, Azure Migrate, Data Migration Service, SQL Server DMA, Azure ASR, AWS DRS Migration from SQL server to/from Other RDBMS platform for PaaS models like AWS Aurora, AWS RDS, Azure Database, Azure MI, GCP Cloud SQL. Understanding Cloud basics and perform duties like security management, storage management, Backup Vaults, Key vaults, Server/DB Monitoring Cost Optimization: Compute and workload analysis, License enhancements and features. Knowledge List Proficient Skills in SQL Server Architecture, Installation and Configuration, Performance Tuning, High Availability and Disaster Recovery (HADR), Monitoring and Troubleshooting Database Migrations and Upgrades: Experience in planning and executing database migrations and upgrades, including version compatibility, testing, and minimizing downtime. Ability to Deploy, Manage and Troubleshoot HADR config in one of the following tech buckets SQL Server (Always On, FCI, Loshipping, Replication) MySQL or PostgreSQL( Master slave replication, InnoDB cluster Set) Homogeneous and Heterogeneous Migrations from/to between various Tech bucket (SQL Server and PostgreSQL or/ MySQL) SQL Server in the Cloud: Knowledge of deploying and managing SQL Server in cloud platforms such as Azure SQL Database and Amazon RDS. SQL Server Best Practices: Familiarity with industry best practices for SQL Server administration, including configuration settings, maintenance tasks, and disaster recovery strategies. Ability to communicate technical info and ideas so others will understand. Ability to apply varying leadership skills and traits that create solutions and results to unexpected situations. About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace Technology Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.