232 Containerization Jobs in Chennai

As a Technical Architect specializing in .Net, Microservices, and Azure, your role will involve implementing and enforcing engineering best practices using modern standards and patterns. You will be responsible for creating and reviewing architecture and solution design artifacts, as well as ensuring adherence to architectural standards, global guidelines, and usability design standards. Your expertise will be crucial in enforcing regular code reviews, continuous integration, high test code coverage, on-going code refactoring, and maintaining adequate documentation. Additionally, you will architect and develop scalable and maintainable applications by creating self-contained, reusable, and testable Modules and Components. Integration with Azure Cloud for storage, databases, and security, along with deploying necessary components as Docker Container to Azure, will also be part of your responsibilities. You will provide thought leadership to the team by introducing new approaches, workflows, and technologies. Qualifications Required: - 10+ years of combined experience demonstrating expertise in Azure Cloud and Microservices - Minimum 5 years of experience in building Microservices and proficiency in API documentation tools like Swagger and Swagger Hub - At least 4 years of experience with Single Sign-On (SSO) integration with REST-based APIs using major IAM providers. Deep understanding of Security Auth Token consumption including OAUTH, SAML, or JWT Token is essential - Proficiency in relational, graph, and/or unstructured data technologies such as SQL Server, Azure SQL, and Azure Data - Experience with Azure Kubernetes Service (AKS) and managing AKS infrastructure - Proficiency in Azure API Gateway, Azure Data Factory, Azure Code Commit, and Azure Storage Service - Hands-on experience in working with Azure-based application containerization and deployment - Hands-on experience in connecting Microservices to Cloud Services like Cloud-based SQL, Storage, NoSQL - Solid understanding of improving and debugging backend performance bottlenecks - Understanding of dependency management and build systems for Microservices - Deep understanding of Azure DevOps processes - Knowledge of authentication protocols (SAML/OAuth/OIDC), Multi-Factor Authentication (MFA), and Role-Based Access Control (RBAC) - Experience with analytics tools such as Dynatrace, Firebase, and Google Analytics (Note: No additional details about the company were provided in the job description.),

As a Software Test Automation Engineer, you will work in a product development team developing highly configurable software in a collaborative environment following agile methodologies. You will participate in the entire product development life cycle, contributing to building quality product offerings. Working alongside development engineers, you will design and implement strategies and tools for efficient automated testing with a strong focus on data and analytics platforms. **Key Responsibilities:** - Minimum 3+ years of hands-on experience in software test automation - Expertise in Core Java or Python, including object-oriented programming, data structures, and automation framework development - Advanced Python programming skills for test automation and data validation are preferred - Proficiency in Selenium frameworks such as WebDriver, TestNG/JUnit, and related automation technologies - Strong SQL skills for developing complex queries for data validation and database testing - Experience with CI/CD pipeline implementation and maintenance for automated testing - Excellent communication skills to explain technical concepts to diverse stakeholders - Customer-focused mindset understanding business requirements and customer impact **Preferred Skills:** - Experience in testing data projects like Azure Data Factory/SSIS or similar - Familiarity with PowerBI and API testing - Knowledge of performance testing tools and cloud platforms - Understanding of containerization, microservices testing, and AI adoption - Experience in SAFe Agile environment and source control systems like git or bitbucket **Qualifications Required:** - Minimum 3+ years of software test automation experience - Proficiency in Core Java or Python, including object-oriented programming, data structures, and automation framework development - Strong expertise in Selenium frameworks and SQL for data validation - Experience with CI/CD pipelines and excellent communication skills - Preferred experience with Python programming, Azure Data Factory/SSIS, PowerBI, API testing, performance testing tools, cloud platforms, containerization, microservices testing, AI adoption, SAFe Agile environment, and source control systems like git or bitbucket In this role, you will analyze business and technical requirements, assess compatibility with quality standards, and help ensure the consistency, completeness, accuracy, and testability of product requirements. You will design and maintain functional and non-functional test cases, execute tests for various aspects of the system, and work closely with developers to understand the underlying architecture. Additionally, you will develop automated test scripts, maintain test automation frameworks, and integrate new features into the CI/CD pipeline for automated testing. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.,

As a technical architect at Gramener, you will have the opportunity to architect and build a platform that enables thousands of developers to tell data stories using Gramex, our microservices-based low code applications platform. Your responsibilities will include designing domain-specific solutions and products, creating components for automatic data insights extraction, developing components for automated storytelling in both visual and narrative formats, solving architectural challenges throughout the data-to-deploy cycle, mentoring teams, and showcasing the capabilities of solutions/products to clients. **Key Responsibilities:** - Architect and design new solutions and products for multiple domains. - Design components for automatic data insights extraction. - Create components for automated storytelling in visual & narrative formats. - Solve real-world architectural challenges across the data-to-deploy cycle. - Mentor teams across the organization. - Demonstrate the solutions/product capabilities to clients. **Qualifications Required:** - Proven experience as a Python Developer with a minimum of 4 years in a technical leadership role. - Strong background in software architecture and experience with large-scale, complex systems. - Proficiency in Python programming, including knowledge of advanced concepts like multithreading, async programming, and design patterns. - Hands-on experience with web frameworks such as Django, Flask, or FastAPI. - Expertise in microservices architecture, cloud platforms (AWS, GCP, Azure), and containerization tools like Docker and Kubernetes. - Familiarity with CI/CD pipelines, testing frameworks, and Agile development practices. - Strong knowledge of databases (SQL and NoSQL) and experience designing data models and working with ORM (e.g., SQLAlchemy). - Solid understanding of system design, network protocols, and APIs (REST, GraphQL). - Experience with DevOps tools and automation frameworks. - Familiarity with security best practices and ensuring the safety and privacy of sensitive data. At Gramener, we focus on providing strategic data consulting to organizations, helping them make data-driven decisions and leveraging data as a strategic differentiator. Through our various product offerings, solutions, and services, we analyze and visualize large amounts of data to empower organizations with meaningful insights. (Note: Additional details about the company were not mentioned in the provided job description.),

Role Overview: You will be responsible for driving the implementations per plan to ensure quality and on-time delivery, working under minimal supervision from the Implementation Leads. Your main outcomes will involve understanding and analyzing business and technical requirements, coordinating and managing various implementation plan components, developing and modifying code, testing programs, providing post-implementation support, and offering client feedback during software planning sessions. Key Responsibilities: - Understand and analyze business and technical requirements, and their impact on the product application and system - Coordinate and manage various implementation plan components - Develop and modify code, test programs for configuration integration, conversion, and migrations - Assist in answering routine customer questions on product implementations and resolving issues - Provide important client feedback during software planning sessions to guide future product development - Provide post-implementation support during the transition from implementation to maintenance Qualifications Required: - Product development experience - Strong collaboration skills and professional work ethic - Passion for delivering exceptional customer service - Ability to identify and resolve obstacles, with strong problem-solving skills - Excellent communication and documentation skills - Good time management skills - Experience in product deployment and resolution - Knowledge of Configuration/Build/Deploy processes and tools - Familiarity with Cloud providers and their toolsets - Understanding of Technology systems - Experience with defect management tools and processes - Knowledge of SDLC process and programming principles - Strong record of academic achievements - Additional Comments: Excellent knowledge in Healthcare domain, experience in agile development environments, and ability to assist in planning and running configuration sprints. Company Details: The company focuses on providing healthcare solutions and services, with a strong emphasis on maintaining compliance to industry domain standards and guidelines. They value clear communication, teamwork, and continuous learning to meet challenges successfully.,

Role Overview: As a Configuration Lead, you will support and lead client product implementations in the healthcare administration domain. Your role will involve mentoring the configuration team, ensuring process adherence, and acting as a bridge between technical and business teams to deliver successful client outcomes. Key Responsibilities: - Lead the end-to-end configuration and implementation of healthcare administration products. - Drive product implementation plans to ensure delivery within defined timelines, budgets, and SLAs. - Guide and mentor Configuration Analysts and Engineers, ensuring adherence to best practices. - Design and configure Core Admin systems for Claims and Clinical Operations. - Plan and run Agile configuration sprints, including backlog grooming, sprint planning, and demos. - Conduct configuration reviews to ensure compliance with standards and design principles. - Manage promotion of configuration through all environments; maintain the gold environment with timely backups. - Coordinate with Integration, Conversion, and Testing teams for smooth execution across functions. - Provide regular status updates, identify risks, and propose mitigation strategies. - Participate in client demos, representing configuration deliverables and resolving implementation issues. - Collaborate with internal and external stakeholders to enhance product functionality and user adoption. Qualification Required: - 5-8 years of experience in Healthcare Product Implementation or Configuration Leadership roles. - Hands-on expertise in configuration, product setup, and deployment within healthcare products. - Proficiency in Agile methodologies and experience running configuration sprints. - Deep understanding of Claims processing, Member/Provider data, and Clinical Operations. - Exposure to DevOps practices, CI/CD pipelines, and configuration promotion processes. - Familiarity with cloud environments (AWS / Azure / Google Cloud). - Experience with Quality Automation, containerization (Docker/Kubernetes), and build/deploy tools. - Excellent communication, leadership, and stakeholder management skills. - Bachelor's degree in Computer Science, Information Technology, or a relevant technical field. - Certifications in Healthcare Administration Systems or Agile/DevOps are an added advantage. Core Competencies: - Product Implementation Leadership - Agile Configuration & Delivery - Cross-functional Collaboration - Process Improvement & Automation - Strong Client Communication,

As an experienced Agentic AI Developer, your role will involve designing, building, and maintaining intelligent agent-based systems that interact with enterprise data and workflows. You are expected to work with the proprietary agentic framework of the company, integrating with enterprise systems via MCP servers and ensuring seamless data access, automation, and secure deployment across GCP, AWS, and hybrid environments. **Responsibilities:** - Design, implement, and optimize AI agent workflows within the in-house agentic framework. - Integrate multiple LLMs (OpenAI GPT, Anthropic Claude, Google Gemini, etc.) into production pipelines. - Develop and maintain enterprise connectors through MCP servers for secure data access. - Build and deploy scalable microservices and APIs to connect AI agents with existing applications. - Manage the full lifecycle including development, versioning, deployment, and maintenance using GitHub, CI/CD, and containerized environments. - Collaborate with cross-functional teams (data, product, infra) to ensure AI agents meet operational and compliance standards. - Monitor model behavior, fine-tune prompts, and optimize cost-performance balance across LLM providers. - Contribute to ongoing R&D on multi-agent orchestration, tool usage, and enterprise LLM governance. **Qualifications:** - Prior experience developing or maintaining multi-agent systems for enterprise-scale data. - Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG). - Exposure to frontend frameworks (React, Next.js) for agent dashboards or monitoring tools. - Experience with monitoring, evaluation, and safety tuning of deployed AI systems. - Contributions to open-source AI agentic projects or internal AI accelerators. **Essential Skills:** - Strong programming background in Python, JavaScript (Node.js), or similar languages. - Experience with AI agentic frameworks, LangChain, CrewAI, LangGraph, or similar orchestration tools. - Hands-on experience with multiple LLM APIs (ChatGPT, Gemini, Claude, Mistral, etc.) and prompt engineering best practices. - Experience with cloud infrastructure: GCP (Vertex AI, BigQuery), AWS (Bedrock, S3, Lambda), and containerization (Docker, Kubernetes). - Familiarity with MCP server architecture and enterprise data integrations (REST, GraphQL, MongoDB, SQL). - Proficient in version control and DevOps workflows (GitHub Actions, Terraform, etc.). - Understanding of security, access management, and compliance for enterprise AI systems. **Desired Skills:** - Strong analytical mindset and debugging ability. - Proven collaboration in multi-disciplinary teams (AI, infra). - Curiosity-driven, keeps up with fast-moving developments in LLM and agent ecosystems. - Excellent documentation and communication skills.,

As a Senior Manager at EY in the Technology Consulting department, you will be responsible for shaping the future by designing and implementing AI-infused web applications and platforms that leverage modern cloud and GenAI capabilities. Your main responsibilities will include: - Designing and developing full stack applications integrating AI/ML and GenAI capabilities. - Building scalable, secure, and responsive front-end interfaces using modern frameworks such as React, Angular, or Vue. - Developing robust back-end services and APIs using Python, Node.js, or Java, with integration to AI/ML models. - Collaborating with data scientists and AI engineers to embed models into production-grade applications. - Architecting and implementing microservices-based solutions on cloud platforms such as Azure, AWS, or GCP. - Integrating LLMs and generative AI APIs like OpenAI, Bedrock, Vertex AI, and Gemini into user-facing applications. - Ensuring seamless CI/CD pipelines using DevOps tools like GitHub Actions, Azure DevOps, Jenkins, and Terraform. - Optimizing application performance and scalability across cloud-native environments. - Implementing secure authentication and authorization mechanisms, including OAuth2, JWT, and role-based access. - Staying current with emerging AI trends and full stack technologies to drive innovation. - Mentoring junior developers and contributing to engineering best practices. Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or a related field. - 10-15 years of experience in full stack development, with 4-6 years in AI/ML integration. - Strong proficiency in front-end technologies such as HTML5, CSS3, JavaScript, React, or Angular. - Expertise in back-end development using Python (Flask/Django), Node.js, or Java. - Experience deploying AI/ML models via REST APIs, WebSockets, or serverless functions. - Familiarity with GenAI platforms like OpenAI (Azure), AWS Bedrock, and GCP Vertex AI. - Hands-on experience with MLOps/LLMOps workflows and tools like MLFlow, LangChain, and Hugging Face. - Experience with containerization and orchestration using Docker and Kubernetes. - Solid understanding of cloud services and architecture including Azure App Services, AWS Lambda, and GCP Cloud Run. - Knowledge of relational and NoSQL databases such as PostgreSQL, MongoDB, and Redis. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Excellent communication and stakeholder management skills. In addition to the core responsibilities, you will also be expected to: - Manage end-to-end project delivery, including scoping, solutioning, designing, developing, testing, deploying, or maintaining. - Lead end-to-end delivery of AI-enabled web applications. - Collaborate with cross-functional teams to define scope, architecture, and timelines. - Ensure solutions meet performance, security, and usability standards. - Present technical solutions and prototypes to clients and senior stakeholders. - Identify opportunities to apply GenAI to enhance user experience and business value. At EY, we are committed to building a better working world by creating new value for clients, people, society, and the planet. We leverage data, AI, and advanced technology to help clients shape the future with confidence and develop solutions for the most pressing issues of today and tomorrow. Our teams work across a full spectrum of services in assurance, consulting, tax, strategy, and transactions, providing services in more than 150 countries and territories. As a Senior Manager at EY in the Technology Consulting department, you will be responsible for shaping the future by designing and implementing AI-infused web applications and platforms that leverage modern cloud and GenAI capabilities. Your main responsibilities will include: - Designing and developing full stack applications integrating AI/ML and GenAI capabilities. - Building scalable, secure, and responsive front-end interfaces using modern frameworks such as React, Angular, or Vue. - Developing robust back-end services and APIs using Python, Node.js, or Java, with integration to AI/ML models. - Collaborating with data scientists and AI engineers to embed models into production-grade applications. - Architecting and implementing microservices-based solutions on cloud platforms such as Azure, AWS, or GCP. - Integrating LLMs and generative AI APIs like OpenAI, Bedrock, Vertex AI, and Gemini into user-facing applications. - Ensuring seamless CI/CD pipelines using DevOps tools like GitHub Actions, Azure DevOps, Jenkins, and Terraform. - Optimizing application performance and scalability across cloud-native environments. - Implementing secure authentication and authorization mechanisms, including OAuth2, JWT, and role-based access. - Staying current with emerging AI trends and full stack technologies to drive innovation. - Mentoring junior developers and contributing to engineering best practices. Q

Role Overview: At Toyota Connected, you will have the opportunity to be a part of a team that is dedicated to transforming the automotive industry and positively impacting others on a global scale. In a collaborative and fast-paced environment, we focus on continual improvement and deliver exceptional value through connected products and services that wow and delight our customers. Key Responsibilities: - Design, develop, and maintain automation test frameworks and scripts specifically for API-level Testing - Validate and verify complex Machine Learning applications, ensuring models and data pipelines perform accurately in the production environment - Conduct extensive testing on large-scale data engineering pipelines, including ETL processes, data warehousing solutions, and big data processing framework - Identify, document, and track software defects, proactively working with developers and product teams for resolution - Execute load and performance testing on APIs and data pipelines to ensure scalability and efficiency - Collaborate closely with data engineers, ML engineers, software developers, and product teams to define comprehensive test strategies - Participate actively in agile ceremonies, contributing to sprint planning, reviews, and retrospectives Qualifications Required: - 3+ years of hands-on experience in automation testing, especially focused on API testing using tools such as Postman, REST Assured, or similar - Experience working with automation frameworks like Cucumber/Karate for API automation and selenium/cypress for web automation - Demonstrable experience testing Machine Learning applications, including model validation, accuracy assessments, and production-readiness - Proven expertise in testing large-scale data engineering pipelines involving technologies such as Apache Spark, Hadoop, AWS EMR, Kafka, or similar - Strong scripting/programming skills in Python, Java, or JavaScript - Familiarity with containerization and CI/CD tools (Docker, Kubernetes, Jenkins, GitLab CI/CD) - Excellent analytical and problem-solving abilities, with strong attention to detail - Effective communication skills and the ability to clearly document test cases, defects, and technical findings Additional Details: - Experience working with Performance testing - Experience working with security testing - Experience in the automotive domain **Omitting the section "Any additional details of the company if present in JD" as it is not provided in the job description. Role Overview: At Toyota Connected, you will have the opportunity to be a part of a team that is dedicated to transforming the automotive industry and positively impacting others on a global scale. In a collaborative and fast-paced environment, we focus on continual improvement and deliver exceptional value through connected products and services that wow and delight our customers. Key Responsibilities: - Design, develop, and maintain automation test frameworks and scripts specifically for API-level Testing - Validate and verify complex Machine Learning applications, ensuring models and data pipelines perform accurately in the production environment - Conduct extensive testing on large-scale data engineering pipelines, including ETL processes, data warehousing solutions, and big data processing framework - Identify, document, and track software defects, proactively working with developers and product teams for resolution - Execute load and performance testing on APIs and data pipelines to ensure scalability and efficiency - Collaborate closely with data engineers, ML engineers, software developers, and product teams to define comprehensive test strategies - Participate actively in agile ceremonies, contributing to sprint planning, reviews, and retrospectives Qualifications Required: - 3+ years of hands-on experience in automation testing, especially focused on API testing using tools such as Postman, REST Assured, or similar - Experience working with automation frameworks like Cucumber/Karate for API automation and selenium/cypress for web automation - Demonstrable experience testing Machine Learning applications, including model validation, accuracy assessments, and production-readiness - Proven expertise in testing large-scale data engineering pipelines involving technologies such as Apache Spark, Hadoop, AWS EMR, Kafka, or similar - Strong scripting/programming skills in Python, Java, or JavaScript - Familiarity with containerization and CI/CD tools (Docker, Kubernetes, Jenkins, GitLab CI/CD) - Excellent analytical and problem-solving abilities, with strong attention to detail - Effective communication skills and the ability to clearly document test cases, defects, and technical findings Additional Details: - Experience working with Performance testing - Experience working with security testing - Experience in the automotive domain **Omitting the section "Any additional details of the company if present in JD" as it is not provided in the job

As the Machine Learning Enablement Engineering Manager within Ford's Data Platforms and Engineering (DP&E) organization, you are a key leader responsible for guiding and developing a team of engineers focused on delivering high-impact, scalable machine learning solutions to address critical business challenges within DP&E. Your primary focus will be on building and maintaining the platform infrastructure and processes that empower data scientists and ML engineers to rapidly deploy and scale their solutions into production. You will work closely with Product Managers, Architects, Data Scientists, and other key stakeholders to drive engineering excellence, promote innovation, and uphold best practices. This role is less about building individual ML models and more about creating robust, reliable, and scalable solutions that allow others to deliver value effectively. Your leadership is crucial in driving the success of our machine learning initiatives. Your ability to guide and develop a team of engineers, while maintaining alignment with Ford's strategic goals, will be key to delivering world-class, production-ready ML solutions that power Ford's transformation into a data-driven enterprise. You should be a highly hands-on engineering leader with a proven track record of delivering complex, scalable solutions. While a deep understanding of ML concepts is beneficial, your primary focus will be on platform engineering, DevOps, and building robust, maintainable infrastructure. You will define processes for technical platforms, conceive application prototypes, and mentor your team in best practices. Your day-to-day responsibilities will involve designing and managing the organization's ML infrastructure architecture, ensuring data is efficiently processed, stored, and accessed to support ML model development and deployment. You will be pivotal in delivering these solutions on time and within budget. **Key Responsibilities:** - **Engineering Leadership & Management:** - Proven experience (7+ years) in a leadership role managing engineering teams, ideally with a focus on platform engineering, MLOps, or similar areas. Experience managing remote teams is a plus. - Experience leading and mentoring engineering teams, fostering a culture of innovation, continuous learning, and technical excellence. Demonstrated ability to drive strategic technical decisions and ensure alignment with broader organizational goals. - Proven ability to build and maintain high-performing teams, promoting accountability, ownership, and collaboration. Experience with performance management, including conducting performance reviews and providing constructive feedback. - Excellent communication and interpersonal skills, with a proven ability to cultivate cross-functional collaboration and build strong relationships with stakeholders at all levels. - **Agile & Scrum Practices:** - Deep understanding and practical experience with Agile methodologies (Scrum, Kanban), including facilitating daily stand-ups, sprint planning, backlog grooming, and sprint retrospectives. - Experience working closely with Product Managers to align engineering efforts with product goals, ensure well-defined user stories, and manage priorities effectively. - Proven ability to ensure engineering rigor in story hygiene, including clear acceptance criteria, well-defined dependencies, and a focus on deliverability within the sprint. - **Technical Expertise & Accountability:** - Deep understanding of platform engineering principles and experience designing, building, and maintaining scalable and reliable infrastructure for ML workloads. - Expertise in DevOps practices, including CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), infrastructure-as-code (Terraform, Ansible, CloudFormation), and automation. - Proficiency in at least one programming language (e.g., Python, Java) sufficient to effectively communicate with and guide your engineering team. You won't be expected to contribute to team capacity by coding, but you need to be able to speak the language of your engineers. - Strong understanding of cloud solutions and offerings (preferably GCP services Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery, Pub/Sub, Cloud Storage, Vertex AI). Experience with other major cloud providers (AWS, Azure) is also valuable. - Experience with designing and implementing microservices and serverless architectures. Experience with containerization (Docker, Kubernetes) is highly beneficial. - Experience with monitoring and optimizing platform performance, ensuring systems are running efficiently and meeting SLAs. Proven ability to lead incident management efforts and implement continuous improvements to enhance reliability. - Commitment to best engineering practices, including code reviews, testing, and documentation. A focus on building maintainable and scalable systems is essential. - **Operational Excellence & Cost Optimization:** - Proven ability to drive cost optimization initiatives, particularly in cloud infrastructure and resource usage, aligning with Ford's broader cost-reduction goals. - Experience tracking and reporting key metrics for your domain/platform related to team performance, including quality and operational efficiency.,

Role Overview: At Capgemini Engineering, the world leader in engineering services, you will be joining a global team of engineers, scientists, and architects to support innovative companies in unleashing their potential. As a Java Backend Senior Lead/Architect, you will have the opportunity to work in an Embedded Linux environment, provide technical leadership to software teams, and contribute to unique R&D and engineering services across various industries. Your role will involve hands-on software development, object-oriented design and implementation, as well as strong programming and debugging skills using Java, C, C++, or Python. Additionally, you will utilize your knowledge of IP networking protocols, database, web technologies, and experience with virtualization, containerization, and microservices architecture. Key Responsibilities: - Hands-on software development in an Embedded Linux environment - Providing technical leadership to software teams - Implementing Object Oriented Design and Implementation principles - Programming and debugging using Java, C, C++, or Python - Having a strong knowledge of IP networking protocols and technologies - Working with database and web technologies - Experience with virtualization and containerization (VirtualBox, Docker, KVM) - Knowledge of microservice architecture and event-driven system design - Experience in Agile software development (story & sprint) Qualifications Required: - Hands-on experience in software development in an Embedded Linux environment - Strong skills in Object Oriented Design and Implementation - Proficiency in programming and debugging using Java, C, C++, or Python - Knowledge of IP networking protocols and technologies - Experience with database and web technologies - Familiarity with virtualization, containerization, and microservice architecture - Experience in Agile software development methodologies (Note: Additional details about Capgemini as a global business and technology transformation partner have been omitted from the job description.),

As an experienced web developer with a focus on frontend technologies, you will be responsible for designing modular frontend solutions for scalability and maintainability. Your expertise in Angular (v10+), TypeScript, RxJS, HTML5, CSS3, and SCSS will be crucial for leading Angular development projects and ensuring efficient data fetching and API management through GraphQL. Additionally, your knowledge of Progressive Web Apps (PWAs) and WebAssembly will contribute to enhancing web app performance and optimizing browser performance in complex applications. Key Responsibilities: - Designing modular frontend solutions for scalability and maintainability - Leading Angular development projects - Utilizing Angular (v10+), TypeScript, RxJS, HTML5, CSS3, and SCSS for frontend development - Implementing GraphQL for efficient data fetching and API management - Applying knowledge of PWAs for enhancing web app performance - Understanding WebAssembly for optimizing browser performance - Conducting unit and integration testing using Jest, Cypress, or similar frameworks - Deploying frontend applications using Docker and Kubernetes - Collaborating with designers, backend developers, and stakeholders for seamless teamwork - Driving innovation, hosting tech talks, and mentoring developers - Proactively troubleshooting and optimizing frontend solutions - Applying domain-specific knowledge in real-time data applications and data visualization - Hands-on experience with Git, Agile methodologies, and CI/CD practices - Building and managing cloud-native applications directly on AWS or Azure Qualifications Required: - 7-10 years of overall experience in web development - Proficiency in Angular (v10+), TypeScript, RxJS, HTML5, CSS3, and SCSS - Experience leading Angular development projects for at least 6 years - Familiarity with GraphQL, PWAs, WebAssembly, and unit/integration testing frameworks - Knowledge of containerization, Kubernetes, cloud-native development, and domain-specific areas like real-time data applications and data visualization This job offers an exciting opportunity to work on cutting-edge frontend technologies, collaborate with cross-functional teams, and contribute to the development of innovative web applications. As an experienced web developer with a focus on frontend technologies, you will be responsible for designing modular frontend solutions for scalability and maintainability. Your expertise in Angular (v10+), TypeScript, RxJS, HTML5, CSS3, and SCSS will be crucial for leading Angular development projects and ensuring efficient data fetching and API management through GraphQL. Additionally, your knowledge of Progressive Web Apps (PWAs) and WebAssembly will contribute to enhancing web app performance and optimizing browser performance in complex applications. Key Responsibilities: - Designing modular frontend solutions for scalability and maintainability - Leading Angular development projects - Utilizing Angular (v10+), TypeScript, RxJS, HTML5, CSS3, and SCSS for frontend development - Implementing GraphQL for efficient data fetching and API management - Applying knowledge of PWAs for enhancing web app performance - Understanding WebAssembly for optimizing browser performance - Conducting unit and integration testing using Jest, Cypress, or similar frameworks - Deploying frontend applications using Docker and Kubernetes - Collaborating with designers, backend developers, and stakeholders for seamless teamwork - Driving innovation, hosting tech talks, and mentoring developers - Proactively troubleshooting and optimizing frontend solutions - Applying domain-specific knowledge in real-time data applications and data visualization - Hands-on experience with Git, Agile methodologies, and CI/CD practices - Building and managing cloud-native applications directly on AWS or Azure Qualifications Required: - 7-10 years of overall experience in web development - Proficiency in Angular (v10+), TypeScript, RxJS, HTML5, CSS3, and SCSS - Experience leading Angular development projects for at least 6 years - Familiarity with GraphQL, PWAs, WebAssembly, and unit/integration testing frameworks - Knowledge of containerization, Kubernetes, cloud-native development, and domain-specific areas like real-time data applications and data visualization This job offers an exciting opportunity to work on cutting-edge frontend technologies, collaborate with cross-functional teams, and contribute to the development of innovative web applications.

As a visionary Solution Architect with over 8 years of experience, you will lead enterprise-grade digital transformation projects focusing on cloud-native solutions, application modernization, GenAI integration, and team mentoring. **Key Responsibilities:** - Lead solution architecture and design for key projects, providing accurate estimates and collaborating with architects from various disciplines. - Collaborate with delivery teams, QA, and stakeholders to transform requirements into scalable, secure, and cloud-native solutions. - Define and enforce technical best practices and security guidelines while mentoring engineers and guiding teams through technical challenges. - Drive modernization initiatives including refactoring, containerization, microservices adoption, and database migration to cloud-native or NoSQL solutions. - Integrate AI/ML and GenAI components into enterprise workflows and design innovative GenAI-enabled applications. - Continuously assess and recommend tools, frameworks, and platforms to meet evolving project needs efficiently. **Qualifications Required:** - Bachelor's/Master's in Computer Science, Engineering, or related field. - Strong programming experience in .NET, Python, Java, or Node.js. - Hands-on experience with AWS or Azure, microservices, API gateways, and messaging systems. - Knowledge of GenAI apps, ML workflows, REST APIs, and event-driven architectures. - Experience with database modernization, schema optimization, migration tools, and cloud-native database platforms. - Familiarity with containerization, orchestration, and secure SDLC practices. - Certifications like AWS/Azure Solution Architect or TOGAF are desirable. - Awareness of cloud security, compliance, and cost optimization. - Ability to integrate security considerations throughout the SDLC. - Experience conducting security assessments. If you are a forward-thinking Solution Architect with a passion for driving innovation and leading modernization initiatives, this role at OptiSol is the perfect opportunity for you. Join our team and architect next-generation enterprise solutions while collaborating with expert teams and gaining leadership visibility. Apply now and become an OptiSolite! As a visionary Solution Architect with over 8 years of experience, you will lead enterprise-grade digital transformation projects focusing on cloud-native solutions, application modernization, GenAI integration, and team mentoring. **Key Responsibilities:** - Lead solution architecture and design for key projects, providing accurate estimates and collaborating with architects from various disciplines. - Collaborate with delivery teams, QA, and stakeholders to transform requirements into scalable, secure, and cloud-native solutions. - Define and enforce technical best practices and security guidelines while mentoring engineers and guiding teams through technical challenges. - Drive modernization initiatives including refactoring, containerization, microservices adoption, and database migration to cloud-native or NoSQL solutions. - Integrate AI/ML and GenAI components into enterprise workflows and design innovative GenAI-enabled applications. - Continuously assess and recommend tools, frameworks, and platforms to meet evolving project needs efficiently. **Qualifications Required:** - Bachelor's/Master's in Computer Science, Engineering, or related field. - Strong programming experience in .NET, Python, Java, or Node.js. - Hands-on experience with AWS or Azure, microservices, API gateways, and messaging systems. - Knowledge of GenAI apps, ML workflows, REST APIs, and event-driven architectures. - Experience with database modernization, schema optimization, migration tools, and cloud-native database platforms. - Familiarity with containerization, orchestration, and secure SDLC practices. - Certifications like AWS/Azure Solution Architect or TOGAF are desirable. - Awareness of cloud security, compliance, and cost optimization. - Ability to integrate security considerations throughout the SDLC. - Experience conducting security assessments. If you are a forward-thinking Solution Architect with a passion for driving innovation and leading modernization initiatives, this role at OptiSol is the perfect opportunity for you. Join our team and architect next-generation enterprise solutions while collaborating with expert teams and gaining leadership visibility. Apply now and become an OptiSolite!

Role Overview: You will be responsible for managing integrations with CRM, collaboration, and monitoring tools, providing end-user support, troubleshooting, and system maintenance, maintaining internal information security and compliance standards, installing, configuring, and supporting Windows, Linux, and/or macOS environments, handling server administration, network management, and system uptime, supporting cloud, virtualization, and containerized environments, and identifying system enhancements, automation opportunities, and performance improvements. Key Responsibilities: - Manage integrations with CRM, collaboration, and monitoring tools - Provide end-user support, troubleshooting, and system maintenance - Maintain internal information security and compliance standards - Install, configure, and support Windows, Linux, and/or macOS environments - Handle server administration, network management, and system uptime - Support cloud, virtualization, and containerized environments - Identify system enhancements, automation opportunities, and performance improvements Qualifications: - 12 years of hands-on System Administration or related IT experience - Strong technical background in server, network, and security administration - Proficiency in system installation, configuration, and troubleshooting - Familiarity with virtualization, cloud technologies, and containerization - Excellent analytical, communication, and problem-solving skills - Certifications like CCNA, MCSA, CompTIA, etc., are a strong advantage - IT-related degree preferred Additional Details: ASPRCM Solutions Inc. offers a competitive salary package, stable and growing U.S.-based company, professional development and skill-building opportunities, collaborative and supportive work culture, and a prime office location in Makati CBD. If you are interested in this role, please contact davidraja.m@asprcmsolutions.com for more details. Apply Now!,

You will be joining BeQuick as a Ruby on Rails Developer, where you will be responsible for designing, developing, and maintaining their software platform. Your role will involve collaborating with other developers, management, and account managers to ensure the platform's robustness and scalability. **Key Responsibilities:** - **Ruby on Rails Development:** Design, develop, and maintain robust and scalable web applications using Ruby on Rails. - **Feature Development:** Collaborate with cross-functional teams to implement new features and enhancements, from concept to deployment. - **Code Quality:** Write clean, maintainable, and well-documented code, adhering to coding standards and best practices. - **Database Management:** Work with relational databases (e.g., PostgreSQL) to manage and optimize data storage and retrieval. - **Testing and Quality Assurance:** Write unit tests and perform code reviews to ensure the reliability and performance of the codebase. - **Bug Fixes:** Identify and resolve technical issues, bugs, and bottlenecks in the applications. - **Scalability:** Contribute to the scalability and performance optimization of our web applications. - **Documentation:** Create and maintain technical documentation for the codebase and development processes. - **Schedule:** The ability to work 2:00 - 11:00 PM IST or close to it, and the ability to respond to occasional emergency problems. **Skills Required:** - Experience with version control systems (e.g., Git). - Familiarity with Linux/Unix environments. - Experience with React, Ember, and native Rails views. - PostgreSQL experience. - Familiarity with tools such as Pusher, Sidekiq, Skylight. - Experience with Ember, Vue, or similar front-end frameworks. - Knowledge of AWS service and deployment concepts. - Familiarity with containerization technologies (e.g., Docker). - Experience with agile development methodologies (e.g., Scrum, Kanban). **Educational Requirements:** - Bachelors degree in computer science, Software Engineering, or equivalent work experience. Join BeQuick and contribute to the success of their MVNO-focused software platform with your Ruby on Rails expertise.,

As a Configuration Lead at UST, you will play a crucial role in supporting and leading client product implementations to ensure on-time, high-quality, and compliant delivery. You will mentor the configuration team, ensure process adherence, and act as a bridge between technical and business teams to deliver successful client outcomes. **Key Responsibilities:** - Lead the end-to-end configuration and implementation of healthcare administration products. - Drive product implementation plans to ensure delivery within defined timelines, budgets, and SLAs. - Guide and mentor Configuration Analysts and Engineers, ensuring adherence to best practices. - Design and configure Core Admin systems for Claims and Clinical Operations. - Plan and run Agile configuration sprints, including backlog grooming, sprint planning, and demos. - Conduct configuration reviews to ensure compliance with standards and design principles. - Manage promotion of configuration through all environments; maintain the gold environment with timely backups. - Coordinate with Integration, Conversion, and Testing teams for smooth execution across functions. - Provide regular status updates, identify risks, and propose mitigation strategies. - Participate in client demos, representing configuration deliverables and resolving implementation issues. - Collaborate with internal and external stakeholders to enhance product functionality and user adoption. **Measures of Success:** - 100% on-time and high-quality implementation per client requirements. - Strong client satisfaction and minimal grievances or escalations. - Adherence to configuration standards, coding best practices, and documentation quality. - Achievement of personal and team OKRs (Objectives & Key Results). - Successful utilization of implemented product features by end users. **Mandatory Skills:** - 5-8 years of experience in Healthcare Product Implementation or Configuration Leadership roles. - Hands-on expertise in configuration, product setup, and deployment within healthcare products. - Proficiency in Agile methodologies and experience running configuration sprints. - Deep understanding of Claims processing, Member/Provider data, and Clinical Operations. - Exposure to DevOps practices, CI/CD pipelines, and configuration promotion processes. - Familiarity with cloud environments (AWS / Azure / Google Cloud). - Experience with Quality Automation, containerization (Docker/Kubernetes), and build/deploy tools. - Excellent communication, leadership, and stakeholder management skills. **Preferred Skills:** - Exposure to Healthcare integrations, EDI transactions, and workflow automation. - Working knowledge of JIRA, Confluence, or other Agile project management tools. - Proven experience in client-facing consulting or implementation delivery roles. - Strong analytical, troubleshooting, and problem-solving capabilities. - Ability to mentor and inspire high-performing configuration teams. **Educational Qualification:** - Bachelor's degree in Computer Science, Information Technology, or a relevant technical field. - Certifications in Healthcare Administration Systems or Agile/DevOps are an added advantage. At UST, a global digital transformation solutions provider, we work hand in hand with the world's leading companies to drive real impact through transformation. With over 20 years of experience, we embed innovation and agility into our clients' organizations, touching billions of lives in the process. Join our team of over 30,000 employees in 30 countries and build for boundless impact. As a Configuration Lead at UST, you will play a crucial role in supporting and leading client product implementations to ensure on-time, high-quality, and compliant delivery. You will mentor the configuration team, ensure process adherence, and act as a bridge between technical and business teams to deliver successful client outcomes. **Key Responsibilities:** - Lead the end-to-end configuration and implementation of healthcare administration products. - Drive product implementation plans to ensure delivery within defined timelines, budgets, and SLAs. - Guide and mentor Configuration Analysts and Engineers, ensuring adherence to best practices. - Design and configure Core Admin systems for Claims and Clinical Operations. - Plan and run Agile configuration sprints, including backlog grooming, sprint planning, and demos. - Conduct configuration reviews to ensure compliance with standards and design principles. - Manage promotion of configuration through all environments; maintain the gold environment with timely backups. - Coordinate with Integration, Conversion, and Testing teams for smooth execution across functions. - Provide regular status updates, identify risks, and propose mitigation strategies. - Participate in client demos, representing configuration deliverables and resolving implementation issues. - Collaborate with internal and external stakeholders to enhance product functionality and user a

Role Overview: As a Network Automation Developer, you will be part of a dynamic software development team focused on designing and implementing high-quality, scalable, and efficient networking solutions. Your role will involve defining and refining software requirements, developing and integrating software components, and ensuring seamless system functionality. You will work with modern programming languages, implement automation, and leverage cloud and containerization technologies to streamline network operations. You will contribute to all phases of the software development lifecycle, collaborate closely with engineers and stakeholders, and ensure the delivery of robust and innovative solutions. Your work will involve leveraging CI/CD pipelines, virtualization, and cloud technologies while following agile methodologies to drive efficiency and reliability in network automation. Key Responsibilities: - Develop assigned features and contribute to project-related tasks. - Ensure high-quality code through review, testing, debugging, and troubleshooting. - Gather and analyze information to support problem-solving and decision-making. - Capture customer and project requirements to create high-level and low-level software design documents. - Define acceptance test strategies, develop test cases, and produce comprehensive test plans. - Identify, troubleshoot, and resolve software bugs in collaboration with engineering teams. - Contribute to continuous improvement by refining development processes and best practices. Qualifications Required: - Bachelor's degree in software engineering, computer science, or equivalent practical experience. - 8+ years of proficiency in one or more programming languages such as C++, Python, Java, BASH, Go, C#, or JavaScript. - Experience with Object-Oriented Analysis and Design (OOAD) and software development best practices. - Strong understanding of Linux environments and familiarity with IDEs like IntelliJ or Eclipse. - Knowledge of basic IP networking concepts and experience with tools like CVS, Jira, Confluence, and Jenkins. - Exposure to virtualization and cloud technologies, with hands-on experience in containerization tools such as Docker, Kubernetes, and Helm. - Understanding of OS and system software concepts, including processes, threads, memory management, and synchronization, with strong debugging skills. Additional Details about the Company: Nokia is committed to innovation and technology leadership across mobile, fixed, and cloud networks. The company's focus is on creating inclusive and empowering work environments where employees are open to new ideas, empowered to take risks, and encouraged to bring their authentic selves to work. Nokia offers continuous learning opportunities, well-being programs, and a culture of inclusion and diversity. The company values respect and is dedicated to creating a workplace where everyone feels included and empowered to succeed. Nokia is committed to inclusion and is an equal opportunity employer, with recognitions such as being named one of the World's Most Ethical Companies by Ethisphere and included in the Gender-Equality Index by Bloomberg. Join Nokia and be part of a company where you can make a positive impact on people's lives and contribute to building a more productive, sustainable, and inclusive world.,

As a Configuration Lead, your role involves supporting and leading client product implementations to ensure on-time, high-quality, and compliant delivery. You will mentor the configuration team, ensure process adherence, and act as a bridge between technical and business teams for successful client outcomes. **Key Responsibilities:** - Lead the end-to-end configuration and implementation of healthcare administration products. - Drive product implementation plans to ensure delivery within defined timelines, budgets, and SLAs. - Guide and mentor Configuration Analysts and Engineers, ensuring adherence to best practices. - Design and configure Core Admin systems for Claims and Clinical Operations. - Plan and run Agile configuration sprints, including backlog grooming, sprint planning, and demos. - Conduct configuration reviews to ensure compliance with standards and design principles. - Manage promotion of configuration through all environments; maintain the gold environment with timely backups. - Coordinate with Integration, Conversion, and Testing teams for smooth execution across functions. - Provide regular status updates, identify risks, and propose mitigation strategies. - Participate in client demos, representing configuration deliverables and resolving implementation issues. - Collaborate with internal and external stakeholders to enhance product functionality and user adoption. **Measures of Success:** - 100% on-time and high-quality implementation per client requirements. - Strong client satisfaction and minimal grievances or escalations. - Adherence to configuration standards, coding best practices, and documentation quality. - Achievement of personal and team OKRs (Objectives & Key Results). - Successful utilization of implemented product features by end users. **Mandatory Skills:** - 5-8 years of experience in Healthcare Product Implementation or Configuration Leadership roles. - Hands-on expertise in configuration, product setup, and deployment within healthcare products. - Proficiency in Agile methodologies and experience running configuration sprints. - Deep understanding of Claims processing, Member/Provider data, and Clinical Operations. - Exposure to DevOps practices, CI/CD pipelines, and configuration promotion processes. - Familiarity with cloud environments (AWS / Azure / Google Cloud). - Experience with Quality Automation, containerization (Docker/Kubernetes), and build/deploy tools. - Excellent communication, leadership, and stakeholder management skills. **Preferred Skills:** - Exposure to Healthcare integrations, EDI transactions, and workflow automation. - Working knowledge of JIRA, Confluence, or other Agile project management tools. - Proven experience in client-facing consulting or implementation delivery roles. - Strong analytical, troubleshooting, and problem-solving capabilities. - Ability to mentor and inspire high-performing configuration teams. **Educational Qualification:** - Bachelors degree in Computer Science, Information Technology, or a relevant technical field. - Certifications in Healthcare Administration Systems or Agile/DevOps are an added advantage. As a Configuration Lead, your role involves supporting and leading client product implementations to ensure on-time, high-quality, and compliant delivery. You will mentor the configuration team, ensure process adherence, and act as a bridge between technical and business teams for successful client outcomes. **Key Responsibilities:** - Lead the end-to-end configuration and implementation of healthcare administration products. - Drive product implementation plans to ensure delivery within defined timelines, budgets, and SLAs. - Guide and mentor Configuration Analysts and Engineers, ensuring adherence to best practices. - Design and configure Core Admin systems for Claims and Clinical Operations. - Plan and run Agile configuration sprints, including backlog grooming, sprint planning, and demos. - Conduct configuration reviews to ensure compliance with standards and design principles. - Manage promotion of configuration through all environments; maintain the gold environment with timely backups. - Coordinate with Integration, Conversion, and Testing teams for smooth execution across functions. - Provide regular status updates, identify risks, and propose mitigation strategies. - Participate in client demos, representing configuration deliverables and resolving implementation issues. - Collaborate with internal and external stakeholders to enhance product functionality and user adoption. **Measures of Success:** - 100% on-time and high-quality implementation per client requirements. - Strong client satisfaction and minimal grievances or escalations. - Adherence to configuration standards, coding best practices, and documentation quality. - Achievement of personal and team OKRs (Objectives & Key Results). - Successful utilization of implemented product features by end users. **Mandatory Skills:** - 5-8 years of expe

Job Description You will be responsible for working with a variety of GCP services such as BigQuery, Cloud Dataflow, Pub/Sub, Dataproc, and Cloud Storage. Additionally, you will be involved in data processing using tools like Apache Beam (batch/stream), Apache Kafka, and Cloud Dataprep. Your programming skills in Python, Java/Scala, and SQL will be essential for this role. Experience with orchestration tools like Apache Airflow (Cloud Composer) and Terraform, as well as expertise in security measures like IAM, Cloud Identity, and Cloud Security Command Center, will also be required. Furthermore, your knowledge of containerization with Docker and Kubernetes (GKE) will play a crucial role. Familiarity with machine learning tools such as Google AI Platform, TensorFlow, and AutoML will be necessary. Possessing certifications like Google Cloud Data Engineer and Cloud Architect is preferred. You must have a proven ability to design scalable and robust AI/ML systems in production, emphasizing high-performance and cost-effective solutions. Your strong experience with cloud platforms (Google Cloud, AWS, Azure) and cloud-native AI/ML services (e.g., Vertex AI, SageMaker) will be beneficial. Expertise in implementing MLOps practices, including model deployment, monitoring, retraining, and version control, is also expected. Your leadership skills should enable you to guide teams, mentor engineers, and collaborate with cross-functional teams to achieve business objectives. A deep understanding of frameworks like TensorFlow, PyTorch, and Scikit-learn for designing, training, and deploying models is required. Moreover, experience with data engineering principles, scalable pipelines, and distributed systems (e.g., Apache Kafka, Spark, Kubernetes) will be valuable for this role. Responsibilities - Demonstrate strong leadership and mentorship capabilities to guide teams towards best practices and high-quality deliverables. - Utilize excellent problem-solving skills to design efficient and high-performance systems. - Exhibit effective project management abilities to handle multiple initiatives and ensure timely delivery. - Emphasize collaboration and teamwork to foster a positive and productive work environment. We offer - Opportunity to work on bleeding-edge projects - Collaboration with a highly motivated and dedicated team - Competitive salary - Flexible schedule - Benefits package including medical insurance and sports - Participation in corporate social events - Professional development opportunities About us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Our expertise lies in solving technical challenges and driving positive business outcomes for enterprise companies undergoing transformation. With 8 years of experience in enterprise AI and a strong focus on data, analytics, cloud & DevOps, application modernization, and customer experience, we are committed to innovation and excellence. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with a global presence across the Americas, Europe, and India.,

Role Overview: As an NLP Engineer at Tiger Analytics, you will play a crucial role in developing and deploying NLP & Generative AI solutions, with a focus on Large Language Models (LLMs) and fine-tuning techniques. Your typical day will involve collaborating with experienced team members, supporting internal product development, and contributing to client-focused projects, particularly in the pharma domain. You will have the opportunity to work on GenAI applications, address challenges like bias and latency, and participate in the full lifecycle of AI project delivery under the guidance of senior team members. Additionally, you will be part of a collaborative environment, sharing ideas and working as part of a dynamic team of data scientists and AI engineers. Key Responsibilities: - Design, develop, and deploy NLP & Generative AI solutions using LLMs, fine-tuning techniques, and AI-powered automation. - Lead research and implementation of advanced NLP techniques such as transformers, embeddings, and retrieval-augmented generation. - Architect scalable NLP pipelines for tasks like text processing, entity recognition, summarization, and conversational AI. - Develop and optimize LLM-powered chatbots, virtual assistants, and AI agents to ensure efficiency and accuracy. - Implement Agentic AI systems for autonomous workflows powered by LLMs and task orchestration frameworks. - Ensure LLM observability and guardrails to enhance model monitoring, safety, fairness, and compliance in production environments. - Optimize inference pipelines through quantization, model distillation, and retrieval-enhanced generation to improve performance and cost efficiency. - Lead MLOps initiatives, including CI/CD pipelines, containerization, and cloud deployments. - Collaborate with cross-functional teams to integrate NLP & GenAI solutions into enterprise applications and mentor junior engineers. Key Qualifications: - 7-9 years of experience in NLP, AI/ML, or data science with a proven track record in delivering production-grade NLP & GenAI solutions. - Deep expertise in LLMs, transformer architectures, and fine-tuning techniques. - Strong knowledge of NLP pipelines, text preprocessing, tokenization, and named entity recognition. - Experience with retrieval-augmented generation, vector databases, and prompt engineering. - Hands-on experience with Agentic AI systems, LLM observability tools, and AI safety guardrails. - Proficiency in Python, backend development, API, microservices, and cloud platforms. - Familiarity with MLOps, scalable model deployment strategies, and experience in regulated industries is a plus. - Problem-solving mindset, ability to work independently, drive innovation, and mentor junior engineers. Note: The designation and compensation packages will be commensurate with expertise and experience. Qualification Required: - 7-9 years of experience in NLP, AI/ML, or data science - Deep expertise in LLMs, transformer architectures, and fine-tuning techniques - Strong knowledge of NLP pipelines, text preprocessing, tokenization, and named entity recognition - Experience with retrieval-augmented generation, vector databases, and prompt engineering - Hands-on experience with Agentic AI systems, LLM observability tools, and AI safety guardrails - Proficiency in Python, backend development, API, microservices, and cloud platforms - Familiarity with MLOps, scalable model deployment strategies, and experience in regulated industries is a plus Role Overview: As an NLP Engineer at Tiger Analytics, you will play a crucial role in developing and deploying NLP & Generative AI solutions, with a focus on Large Language Models (LLMs) and fine-tuning techniques. Your typical day will involve collaborating with experienced team members, supporting internal product development, and contributing to client-focused projects, particularly in the pharma domain. You will have the opportunity to work on GenAI applications, address challenges like bias and latency, and participate in the full lifecycle of AI project delivery under the guidance of senior team members. Additionally, you will be part of a collaborative environment, sharing ideas and working as part of a dynamic team of data scientists and AI engineers. Key Responsibilities: - Design, develop, and deploy NLP & Generative AI solutions using LLMs, fine-tuning techniques, and AI-powered automation. - Lead research and implementation of advanced NLP techniques such as transformers, embeddings, and retrieval-augmented generation. - Architect scalable NLP pipelines for tasks like text processing, entity recognition, summarization, and conversational AI. - Develop and optimize LLM-powered chatbots, virtual assistants, and AI agents to ensure efficiency and accuracy. - Implement Agentic AI systems for autonomous workflows powered by LLMs and task orchestration frameworks. - Ensure LLM observability and guardrails to enhance model monitoring, safety, fairness, and compliance in produc

Role Overview: As a senior DevOps Engineer, you will be driving the evolution of DevOps practices and empowering development teams to achieve optimal performance. Your main responsibility will be architecting, implementing, and maintaining robust, scalable, and secure CI/CD pipelines in a cloud-native environment. Key Responsibilities: - Architecting and implementing CI/CD pipelines in a cloud-native environment, ensuring seamless integration and deployment. - Developing and implementing strategies for automated testing, security scanning, and performance monitoring within the CI/CD pipeline. - Defining and documenting best practices for CI/CD, fostering a culture of quality and efficiency within the team. - Monitoring and optimizing CI/CD performance, proactively identifying and resolving bottlenecks to maintain optimal development velocity. - Collaborating closely with application development teams, guiding them in adopting and leveraging CI/CD practices for enhanced productivity. - Generating comprehensive CI/CD reports for stakeholders, providing clear visibility into pipeline performance and areas for improvement. - Mentoring and guiding junior DevOps engineers, fostering a culture of collaboration and continuous improvement. Qualifications Required: - Bachelor's degree or higher in Computer Science, Information Technology, or a related field. - At least 8 years of relevant experience in a DevOps role, with a proven track record of leading and implementing successful DevOps initiatives. - Deep understanding of CI/CD principles, practices, and tools. - Expertise in Linux administration, including scripting and automation. - Extensive experience with containerization technologies (Docker, Kubernetes) and orchestration platforms. - Experience with configuration management tools like Ansible, Chef, or Puppet. - Experience with at least one CI/CD system, such as Jenkins, TeamCity, Tekton, Ansible, or Helm. - Strong scripting skills in Python or other relevant languages. - Experience with monitoring and logging tools like Prometheus, Grafana, or ELK stack. - Extensive experience with Java frameworks such as Spring, Spring Boot, or Hibernate. - Strong experience with RESTful APIs and web services, JMS, Kafka, etc. - Proficiency with version control systems like Git. - Advanced knowledge of SQL and relational databases, such as MySQL or PostgreSQL, and non-relational database, e.g. Mongo. - Understanding of software development methodologies, such as Agile or Scrum. Additional Details about Virtusa: Virtusa values teamwork, quality of life, professional and personal development. They are proud to embody values that prioritize collaboration and seek to provide employees with exciting projects, opportunities, and exposure to state-of-the-art technologies throughout their careers. With a global team of 27,000 individuals, Virtusa aims to create a dynamic environment that nurtures new ideas and excellence.,