11 Jobs in Chenai

Senior Technical Lead Cloud & Full Stack Engineering Chennai - Guindy, India Information Technology 16945 Overview Overview We are looking for Senior Technical Leads with 10 to 12 years of strong software engineering experience and a passion for experimentation and continuous learning. This role is ideal for technically curious leaders who thrive in dynamic environments and enjoy solving complex engineering problems using modern cloud-native stacks. You'll be instrumental in designing scalable systems, mentoring engineers, and introducing innovative approaches across the engineering lifecycle. LocationChennai (Preferred)/Bangalore Immediate to 30 days joiners are preferred Responsibilities Key Responsibilities Lead the end-to-end design and development of scalable API and microservices-based architectures. Drive cloud-native application delivery, preferably on Google Cloud Platform (GCP), with a focus on best practices around security, scalability, and cost efficiency. Provide technical guidance to engineering teams, performing hands-on coding, code reviews, and architecture validations. Champion the use of containerisation (Docker, Kubernetes) and automate deployment pipelines for robust CI/CD. Promote a culture of experimentation, encouraging the evaluation and adoption of new tools, frameworks, and design patterns. Collaborate cross-functionally with product, design, QA, and DevOps teams to deliver cohesive and high-quality solutions. Guide and support prompt engineering and fine-tuning initiatives for LLM-based or GenAI-powered services. Bring a full-systems mindset to troubleshoot and optimise services across infrastructure, application, and user layers. Requirements Must-Have Skills & Exposure 1012 years of overall software engineering experience, with at least 3+ years in a tech leadership role. Solid programming skills in Python and Java, with a deep understanding of backend service design. Strong exposure to cloud platforms GCP preferred, but AWS/Azure experience also valued. Proficiency in API development, microservices orchestration, and integration strategies. Working knowledge of Docker, Kubernetes, and DevOps practices for automated deployments. Exposure to prompt tuning / prompt engineering in the context of AI model integration. Excellent grasp of software architecture, system design, security, and performance tuning. Nice to Have Some exposure to frontend technologies such as React, Angular, or Vue.js or ability to lead full-stack discussions. Experience with infrastructure as code tools (e.g., Terraform, Helm). Familiarity with observability stacks logging, monitoring, alerting (e.g., Grafana, Prometheus, GCP tools). Prior involvement in building or integrating GenAI applications or conversational platforms. What We Value A growth mindset and strong desire to learn and experiment with new technologies. Proactive problem-solving and decision-making capabilities. Ability to work independently while guiding and mentoring a team. Clear and effective communicator with a collaborative attitude.

Python Automation Developer Using GenAI Chennai - Guindy, India Information Technology 16778 Overview Collaboration and Communication: Collaborate with cross-functional teams to understand business requirements and deliver effective solutions. Communicate complex solutions clearly to clients and stakeholders.5. Continuous Learning and Innovation: Stay updated on the latest developments in Generative AI and automation technologies. Integrate new innovations into client solutions and drive continuous improvement.ResponsibilitiesDesign and Development: Develop and maintain Python-based automation solutions incorporating Generative AI technologies. Create reusable, modular libraries and frameworks to streamline solution deployment. Produce detailed solution design documents and ensure adherence to technical standards.2. Implementation and Integration: Implement AI-powered automation solutions using Python and relevant frameworks. Integrate solutions within cloud environments (e.g., Azure, AWS) to ensure scalability and reliability. Utilize large language models (e.g., OpenAI, Google Bard) to build innovative AI solutions.3. Testing and Quality Assurance: Prepare unit test cases and end-to-end automation test plans. Troubleshoot, debug, and refine intelligent solutions to address real-world challengesRequirementsBachelors or masters degree in computer science, Engineering, or a related field. 3+ years of experience in software development or data engineering. Proficiency in Python and experience with frameworks. Hands-on experience with cloud platforms (e.g., Azure, AWS) and DevOps tools (e.g., GitHub, Azure DevOps). Strong problem-solving skills and the ability to tailor AI frameworks for specific use cases. Excellent communication skills and a collaborative mindset.

Backend Engineer (Full Stack) Chennai - Guindy, India Information Technology 17196 Overview Overview: We are looking for a Backend Engineer (Full Stack) with 5-8 years of experience to build, maintain, and optimize scalable web applications. The ideal candidate will have strong expertise in both backend and frontend technologies, with core skills in React.js, Java, and Python, enabling end-to-end feature development and seamless user experiences. LocationChennai/Bangalore/Delhi Responsibilities Roles and Responsibilities: Design, develop, and maintain robust backend services and APIs, integrating with modern frontend frameworks such as React.js. Collaborate with cross-functional teams to define, implement, and deliver new features from conception to deployment. Optimize application performance, ensure security best practices, and maintain code quality across the stack. Integrate and manage databases, ensuring data integrity, scalability, and efficient data access.RequirementsMust-Have Tools & Technologies: FrontendReact.js, JavaScript, HTML5, CSS3 BackendJava, Python DatabasesMySQL, PostgreSQL, MongoDB Version ControlGitGood-to-Have Tools & Technologies: Additional FrontendAngular, Vue.js Additional BackendNode.js, Spring, Django DevOpsDocker, Kubernetes, CI/CD pipelines API Testing & DevelopmentPostman Cloud PlatformsAWS, GCP, Azure CachingRedis, Memcached

Tech Lead - Data Scientist Chennai - Guindy, India Information Technology 17100 Overview Seeking an experienced Tech Lead Data Scientist with 7 to 9 years of industry experience, including a minimum of 34 years in Machine Learning, NLP, and LLM-Ops, to support the development and deployment of scalable AI solutions. The ideal candidate should have hands-on expertise in Python, AWS, and ML-Ops pipelines, with experience in building RAG systems and working with large language models. This role involves developing production-ready ML systems, automating model workflows, and contributing to high-impact, cloud-based AI initiatives within an agile environment. Responsibilities Lead the design, development, and optimization of end-to-end ML and NLP systems in production environments. Collaborate on the deployment of machine learning models using ML-Ops/LLM-Ops pipelines on AWS or other cloud platforms. Develop Retrieval-Augmented Generation (RAG) systems for complex NLP tasks, ensuring scalability and low-latency processing. Architect solutions for the integration and scaling of ML models in distributed environments using cloud technologies such as AWS, Azure, or Google Cloud . Maintain and enhance large-scale machine learning models in production, ensuring high availability and performance. Drive the automation of model retraining, monitoring, and validation workflows within ML-Ops pipelines. Work with cross-functional teams to create optimized, robust, and scalable machine learning solutions that directly impact the business. Requirements Technical Requirements 4+ years of hands-on experience in Machine Learning (ML), Natural Language Processing (NLP), and working with Large Language Models (LLMs) . Proficiency in Python for ML development and integration into production systems. Strong experience in deploying ML models using AWS (or other cloud platforms) with a focus on ML-Ops practices for continuous integration, deployment, and monitoring. Experience in LLM-Ops and the operationalization of large language models in production environments. Proficiency in developing RAGs (Retrieval-Augmented Generation) systems or similar knowledge-enhanced retrieval frameworks. Strong foundation in software development best practices for AI/ML, including testing, optimization, and performance tuning. Familiarity with cloud services and tools like S3, Lambda, Kubernetes , and Docker for scalable deployments. Preferred Qualifications Hands-on experience with Computer Vision or Reinforcement Learning techniques is a plus. Familiarity with database management using Oracle or PL/SQL . Experience with Agile development processes and tools such as Jira and Confluence . Ability to manage and prioritize multiple projects in a fast-paced, agile environment with a focus on high-quality delivery. Must-Have Qualifications Bachelor's or Master's degree in computer science, Data Science, or related fields from a reputed institution (IIT, DCE, NIT, or equivalent). Proven experience in the full ML lifecycle , from research to production, with a focus on performance, scalability, and robustness. Strong analytical and problem-solving skills, with a creative and entrepreneurial mindset.

Job Template - AD ASM Lead Chennai - Guindy, India Information Technology 17115 Overview The ADM-Lead role is a key position within the AD & ASM department. The role will report to the ADM-Lead and can be based at any Prodapt location across the globe. The overall purpose of the position is to actively engage in requirements gathering, create requirements traceability matrix, understand the system architecture, functional flow, and data model, and assist in code development, optimization and reviews. The candidate will also be responsible for developing reusable code libraries and frameworks, comprehending end-to-end deployment process and related tools, and recommending enhancements to the organization's customer value proposition. Responsibilities Actively engage in requirements gathering and compilation Create requirements traceability matrix; Review Impact Analysis documents; Understand the system architecture, functional flow and the data model & Review design documents compiled by peers and recommend modifications Decipher high level business requirement documents and translate it into code; Integrate medium to large sized system modules; Create PoCs and conduct system demos; Actively engage in system architecture discussions & In-charge of code development, optimization, and reviews Develop reusable code libraries and frameworks; Enhance unit-testing processes through automation and best practices &Comprehend end-to-end deployment process and related tools Comprehend the project timelines, milestones and metrics and assist in documentation and tracking; Recommend enhancements to organization's customer value proposition Demonstrate the ability to learn about customer segments, industry competitors and create solutions for simple and medium problems faced by the industry. Requirements Strong experience in Application Development Experience in requirements gathering, creating requirements traceability matrix and review impact analysis documents Strong understanding of system architecture, functional flow, and data modeling Strong knowledge of solution design and the ability to recommend modifications Experience in leading incident management and problem management, and driving ITIL framework Experience in project and team management, financial and operational metrics, and driving project planning activities.

Test Automation Architect Chennai - Guindy, India Information Technology 16551 Overview We are seeking a highly skilled Automation Architect with 5 to 7 years of experience to join our dynamic team. The ideal candidate will have a strong background in designing and implementing robust automation frameworks in Katalon, possess exceptional problem-solving skills, and be proficient in various programming languages and automation tools. The Automation Architect will play a critical role in optimizing business processes through automation and leading automation projects to successful completion. Responsibilities Automation Framework Design Design and implement scalable and maintainable automation frameworks tailored to our business needs. System Integration Integrate various systems and automate end-to-end processes to ensure seamless operations. Process Optimization Analyze and optimize business processes for automation, enhancing efficiency and productivity. Project Management Manage automation projects, including planning, execution, monitoring, and delivering results on time and within budget. Technical Leadership Provide technical guidance and mentorship to junior team members and collaborate with cross-functional teams. Documentation Create and maintain comprehensive documentation for automation frameworks, processes, and best practices. Requirements Katalon Proficiency in using Katalon Studio for test automation. Selenium Expertise in Selenium WebDriver for web application testing. Jira Management Experience in using Jira for test management, including creating, tracking, and managing test cases and defect reports. GitHub and Bitbucket Familiarity with version control systems like GitHub and Bitbucket for code repository management. Scripting Proficiency in scripting languages such as Shell, PowerShell, or Perl. Data Analysis Ability to analyze data and generate insights to improve automation processes. API Integration Experience in integrating APIs for seamless data exchange between systems. Version Control Familiarity with version control systems like Git. Networking Understanding of networking concepts to ensure seamless communication between automated systems. Debugging Strong debugging skills to identify and resolve issues in automation scripts.

Data Modeller Chennai - Guindy, India Information Technology 17074 Overview A Data Modeller is responsible for designing, implementing, and managing data models that support the strategic and operational needs of an organization. This role involves translating business requirements into data structures, ensuring consistency, accuracy, and efficiency in data storage and retrieval processes. Responsibilities Develop and maintain conceptual, logical, and physical data models. Collaborate with business analysts, data architects, and stakeholders to gather data requirements. Translate business needs into efficient database designs. Optimize and refine existing data models to support analytics and reporting. Ensure data models support data governance, quality, and security standards. Work closely with database developers and administrators on implementation. Document data models, metadata, and data flows. Requirements Bachelors or Masters degree in Computer Science, Information Systems, Data Science, or related field. Data Modeling Tools: ER/Studio, ERwin, SQL Developer Data Modeler, or similar. Database Technologies: Proficiency in SQL and familiarity with databases like Oracle, SQL Server, MySQL, PostgreSQL. Data Warehousing: Experience with dimensional modeling, star and snowflake schemas. ETL Processes: Knowledge of Extract, Transform, Load processes and tools. Cloud Platforms: Familiarity with cloud data services (e.g., AWS Redshift, Azure Synapse, Google BigQuery). Metadata Management & Data Governance: Understanding of data cataloging and governance principles. Strong analytical and problem-solving skills. Excellent communication skills to work with business stakeholders and technical teams. Ability to document models clearly and explain complex data relationships. 5+ years in data modeling, data architecture, or related roles. Experience working in Agile or DevOps environments is often preferred. Understanding of normalization/denormalization. Experience with business intelligence and reporting tools. Familiarity with master data management (MDM) principles.

Test Automation Architect Chennai, India Information Technology 17183 Overview We are seeking an experienced Test Automation Lead/Architect to spearhead an AI-driven End-to-End (E2E) testing initiative . The ideal candidate will have a strong background in test automation frameworks, AI-driven testing strategies, and continuous integration (CI/CD) . This role involves designing, implementing, and optimizing AI-powered test automation solutions to enhance software quality and efficiency. Responsibilities Key Responsibilities Lead AI-driven test automation initiatives to improve efficiency and accuracy in E2E testing. Design and implement scalable test automation frameworks using AI-based tools and methodologies. Collaborate with development, QA, and DevOps teams to integrate AI-powered testing into CI/CD pipelines. Optimize test coverage and defect detection using AI-driven analytics and predictive testing models. Evaluate and implement AI-based testing tools for functional, performance, and security testing. Develop automated test scripts for UI, API, and backend validation using AI-enhanced techniques. Mentor and guide the testing team on AI-driven automation best practices. Ensure compliance with industry standards and best practices in AI-powered testing. Requirements Qualifications & Skills: Education: Bachelor's or Master's degree in Computer Science, Engineering, or related fields. Experience: 8+ years in test automation, software testing, or AI-driven testing solutions. Technical Expertise: Strong knowledge of AI-based testing tools (e.g., Test.ai, Applitools, Mabl). Expertise in automation frameworks (Selenium, Cypress, Playwright, Appium). Experience with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps). Proficiency in programming languages (Python, Java, JavaScript). Knowledge of machine learning models for predictive testing. Leadership & Communication: Ability to lead teams, engage stakeholders, and drive AI adoption in testing. Problem-Solving: Strong analytical skills to identify testing gaps and optimize automation strategies . Preferred Qualifications: Experience with AI-powered defect prediction and self-healing test automation . Familiarity with cloud-based testing environments (AWS, Azure, Google Cloud). Strong background in performance testing and security automation .

Senior Technical Lead Chennai - Guindy, India Information Technology 17096 Overview We are seeking an experienced Senior Technical Lead to join our team for a critical migration project. This role will focus on migrating data and services from on-premise or legacy systems to cloud platforms (preferably AWS). The ideal candidate will have a solid background in software engineering, cloud technologies, especially AWS, and a solid understanding of database technologies and data migration processes., and hands-on experience with data and application migration projects. Responsibilities Key Responsibilities: Lead data migration efforts from legacy systems (e.g., on-premises databases) to cloud-based platforms AWS Collaborate with cross-functional teams to gather requirements and define migration strategies. Develop and implement migration processes to move legacy applications and data to cloud platforms like AWS. Write scripts and automation to support data migration, system configuration, and cloud infrastructure provisioning. Optimize existing data structures and processes for performance and scalability in the new environment. Ensure the migration adheres to performance, security, and compliance standards. Identify potential issues, troubleshoot, and implement fixes during the migration process. Maintain documentation of migration processes and post-migration maintenance plans. Provide technical support post-migration to ensure smooth operation of the migrated systems. Requirements Primary Skills (Required): Proven experience in leading data migration projects and migrating applications, services, or data to cloud platforms (preferably AWS). Knowledge of migration tools such as AWS Database Migration Service (DMS), AWS Server Migration Service (SMS), AWS Migration Hub Expertise in data mapping, validation, transformation, and ETL processes Proficiency in Python, Java or similar programming languages. Experience with scripting languages such as Shell, PowerShell, or Bash Cloud Technologies (AWS focus)Strong knowledge of AWS services relevant to data migration (e.g., S3, Redshift, Lambda, RDS, DMS, Glue). Experience in working with CI/CD pipelines (Jenkins, GitLab CI/CD) and infrastructure as code (IaC) using Terraform or AWS CloudFormation Experience in database management and migrating relational (e.g., MySQL, PostgreSQL, Oracle) and non-relational (e.g., MongoDB) databases.

Product Tech Lead Chennai, India Information Technology 16282 Overview Position Overview: We are seeking an experienced Technical Product Lead with 10-18 years of experience who embodies a product mindset and has a strong ability to design, implement, and support product features. The ideal candidate will have deep expertise in Python , PySpark , Node.js , and cloud technologies, alongside a proven track record of leading and mentoring teams of 10+ members. This role involves not only technical leadership but also contributing to the product lifecyclefrom feature design to troubleshooting product issues in production environments. Responsibilities Key Responsibilities: Leadership & Product-Oriented Team Management: Lead a team of 10+ engineers, fostering a culture of collaboration, ownership, and high-performance delivery with a focus on building features that meet product goals. Provide technical guidance and mentorship to team members, resolving complex product-related technical issues, and driving continuous improvement. Ensure the team is aligned with product requirements and objectives, translating these into technical designs and tasks. Product Feature Design & Development: Design and implement scalable, high-performance product features using Python , PySpark , and Node.js , ensuring they meet customer needs and business objectives. Collaborate with product managers, business stakeholders, and other technical teams to define and refine product features. Ensure the technical feasibility of product features and functionality, from ideation to deployment. Product Issue Support & Troubleshooting: Act as a go-to technical expert, supporting the team and the product in resolving any issues that arise in production. Troubleshoot product-related technical challenges, offering solutions and optimizations to improve product performance and user experience. Ensure that the product is delivered with the highest level of quality and reliability. Cloud Integration & Infrastructure: Architect and deploy cloud-native applications, ensuring scalability, security, and efficiency for the product. Ensure the cloud infrastructure aligns with the evolving needs of the product. Stakeholder Collaboration & Communication: Collaborate closely with product managers, business teams, and other technical teams to translate business requirements into technical solutions. Communicate progress, challenges, and product solutions clearly and effectively to both technical and non-technical stakeholders. Requirements Mandatory Skills & Experience: Core Technical Skills: Strong expertise in Python , PySpark , and Node.js . Comprehensive knowledge of cloud platforms (e.g., AWS, GCP, or Azure). Product Mindset & Design: Strong ability to understand the end-to-end product lifecycle, including design, development, and post-launch support. Proven experience in designing product features that align with business objectives and customer needs. Ability to collaborate with product teams to prioritize and refine features and functionality. Cloud & Product Support Expertise: Hands-on experience with cloud platforms and services, including deployment, scaling, and performance optimization in the cloud. Ability to troubleshoot complex product issues and provide timely, effective solutions. Leadership & Problem-Solving: Proven experience in managing and mentoring a team of 10 or more engineers, ensuring they have the tools and support to succeed. Ability to help the team navigate technical challenges, offering guidance and solutions. Strong problem-solving skills with a focus on delivering product-driven solutions. Preferred Skills (Nice to Have): Familiarity with Google Cloud Services (GCS) for storage solutions. Knowledge of BigQuery (BQ) for data analytics and processing. Experience with Apache Airflow for orchestrating workflows. Exposure to Google Cloud Dataproc for processing large-scale data. Understanding of Generative AI (GenAI) technologies and their application in product development. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 10-15 years of hands-on experience in software development, technical leadership, and product-oriented roles. Expertise in modern software development practices, cloud computing, and agile methodologies.

Senior AI/ML Engineer Chennai, India Information Technology 17102 Overview Seeking an experienced Senior AI/ML Engineer with 3 to 5 years of industry experience, including a minimum of 23 years in Machine Learning, NLP, and LLM-Ops, to support the development and deployment of scalable AI solutions. The ideal candidate should have hands-on expertise in Python, AWS, and ML-Ops pipelines, with experience in building RAG systems and working with large language models. This role involves developing production-ready ML systems, automating model workflows, and contributing to high-impact, cloud-based AI initiatives within an agile environment. Responsibilities Design, develop, and optimize end-to-end machine learning and NLP solutions for production-grade systems. Collaborate on deploying ML models through ML-Ops/LLM-Ops pipelines on AWS or other cloud platforms. Build and implement Retrieval-Augmented Generation (RAG) systems to solve complex NLP tasks, ensuring scalability and low-latency performance. Contribute to the integration and scaling of ML models in distributed environments using cloud technologies like AWS, Azure, or GCP. Maintain and fine-tune large-scale machine learning models in production, ensuring reliability and performance. Support automation of model retraining, monitoring, and validation workflows within ML-Ops pipelines. Work closely with cross-functional teams to deliver robust, efficient, and business-impacting AI/ML solutions. Requirements Technical Requirements 2+ years of hands-on experience in Machine Learning (ML), Natural Language Processing (NLP), and working with Large Language Models (LLMs) . Proficiency in Python for ML development and integration into production systems. Strong experience in deploying ML models using AWS (or other cloud platforms) with a focus on ML-Ops practices for continuous integration, deployment, and monitoring. Experience in LLM-Ops and the operationalization of large language models in production environments. Proficiency in developing RAGs (Retrieval-Augmented Generation) systems or similar knowledge-enhanced retrieval frameworks. Strong foundation in software development best practices for AI/ML, including testing, optimization, and performance tuning. Familiarity with cloud services and tools like S3, Lambda, Kubernetes , and Docker for scalable deployments. Preferred Qualifications Hands-on experience with Computer Vision or Reinforcement Learning techniques is a plus. Familiarity with database management using Oracle or PL/SQL . Experience with Agile development processes and tools such as Jira and Confluence . Ability to manage and prioritize multiple projects in a fast-paced, agile environment with a focus on high-quality delivery. Must-Have Qualifications Bachelor's or Master's degree in computer science, Data Science, or related fields from a reputed institution (IIT, DCE, NIT, or equivalent). Proven experience in the full ML lifecycle , from research to production, with a focus on performance, scalability, and robustness. Strong analytical and problem-solving skills, with a creative and entrepreneurial mindset.