Top Tech Jobs & Startup Jobs in Chennai

Assess and modernize an enterprise automation platform, including Java-Selenium frameworks, architecture, code quality, test coverage, stability, scalability, reporting, CI/CD integrations, execution strategies, and technical debt. Develop a prioritized improvement roadmap, recommend technology and governance enhancements, evaluate Playwright and AI/GenAI opportunities, and mentor QA and automation teams while engaging senior stakeholders.

Design, develop, and maintain Python-based automation frameworks using Selenium, Playwright, and PyTest. Create automated UI and API tests, integrate testing with CI/CD pipelines, validate databases with SQL, analyze results, resolve defects, and ensure coverage across web applications. Collaborate in Agile teams and continuously improve testing processes. Preferred experience includes Docker, performance testing, cloud platforms, BDD frameworks, accessibility, and cross-browser testing.

Analyze and deliver front-, middle-, and back-office capital markets initiatives across trading, risk, operations, compliance, and technology. Define requirements, process maps, data mappings, controls, regulatory reporting, and testing strategies. Support trade lifecycle modernization, STP improvements, platform and vendor evaluations, Agile delivery, UAT, production readiness, and change management across multiple asset classes and standards including FIX, SWIFT, and ISO 20022.

Analyzes business and system requirements in Agile environments; configures and administers Jira boards, workflows, fields, permissions, dashboards, and test management tools. Defines user stories, acceptance criteria, use cases, and functional documentation; models business processes; coordinates UAT and defect resolution; validates data using SQL and APIs; and facilitates workshops, backlog refinement, demos, and stakeholder communications.

Design, develop, and maintain scalable Playwright automation frameworks using Java and Python. Build reusable test automation, integrate suites with Azure DevOps and Jenkins CI/CD pipelines, and perform API automation. Implement AI-enabled testing capabilities including script generation, self-healing, intelligent test data generation, and failure analysis. Collaborate effectively and apply modern quality engineering practices, with exposure to agentic AI preferred.

Develop and deploy Python services, REST APIs, data pipelines, machine learning models, and production GenAI/LLM features. Responsibilities include using Flask, Pandas, NumPy, SQL, and PyTorch; integrating and evaluating GPT, Llama2, and Gemini solutions; optimizing databases; writing tests and logging; and collaborating with product and data teams to deliver scalable AI applications.

Own the technical delivery of AI solutions from stakeholder engagement and conceptualization through proof of concept, productionization, and maturity. Design multi-agent, generative AI, RAG, and fine-tuned LLM solutions; develop evaluation and AgentOps practices; and apply NLP, computer vision, and predictive models. Support pre-sales, create technical artifacts, guide engineering teams, and deploy scalable solutions using microservices, containers, Kubernetes, AWS, and Azure.

Leads the development and maintenance of scalable test automation frameworks using Playwright and Selenium. Develops Java and Python automation scripts, integrates test suites with Azure DevOps and Jenkins pipelines, and implements AI-assisted capabilities such as script generation, self-healing, intelligent test data, and failure analysis. Mentors automation engineers, conducts code reviews, collaborates in Agile teams, and promotes quality engineering best practices.

Leads end-to-end B2B digital marketing strategy and execution across SEO, AI search, paid media, content, email, and marketing automation. Owns campaign roadmaps, lead generation, funnel performance, analytics, attribution, optimization, and reporting. Partners with sales, product, business, and delivery teams to drive qualified leads, pipeline contribution, brand visibility, and revenue growth while managing stakeholders and improving scalable marketing processes.

Develop and optimize AI and generative AI applications using Python, large language models, machine learning, NLP, TensorFlow, and PyTorch. Build APIs, backend services, semantic search systems, and vector database integrations. Fine-tune models, monitor production performance, and collaborate with data scientists, engineers, and product teams to deliver scalable AI features. Document models and workflows while applying prompt engineering, embeddings, and MLOps practices.