Top Tech Jobs & Startup Jobs in Delhi

Build and maintain end-to-end UI and API test automation; create test plans and test cases; manage defects; collaborate with API development; apply DB/ICEDQ validation; work in financial/brokerage domain. Strong communication and initiative required.

Lead and manage QA team across manual, automated, and non-functional testing. Design and maintain automation frameworks, run performance and security tests, integrate tests into CI/CD, track defects and quality KPIs, and mentor junior engineers.

Facilitate discovery sprints, refine discovery backlogs, coordinate cross-team activities, and transition teams into delivery. Serve as Scrum Master for Agile delivery teams, run ceremonies, remove impediments, track metrics in JIRA/Confluence, support UAT and release planning, and escalate and resolve cross-functional risks.

Lead design and delivery of enterprise Pega BPM case management solutions for financial services. Architect and develop on Pega Infinity (24.x+), implement Constellation/Cosmos features, manage upgrades, integrate with RDBMS/Oracle and cloud (Pega Cloud/AWS), and work with decisioning, connectors, APIs, and DevOps/container deployments.

Design, develop, and optimize ELT/ETL pipelines and data models using SQL, Python, and cloud services (AWS). Enable cloud data movement to Snowflake, perform SQL performance tuning, support code migrations, and collaborate in agile, distributed teams to deliver analytics-ready data solutions.

Build responsive, high-performance web applications using Vue.js. Create reusable components, optimize for speed and scalability, debug issues, write unit and integration tests, collaborate with designers and backend developers, and follow frontend best practices.

Design, build and maintain CI/CD pipelines for on‑prem and AWS environments using Jenkins, Stash, Maven, Nexus, uDeploy. Automate with Python/JSON and shell/Perl scripts, manage containers (Kubernetes/Docker), monitor with Datadog, handle CI/CD incidents, and work within ITIL/Agile practices.

Design, build, and scale production Generative AI systems: multi-agent workflows, advanced RAG pipelines, model fine-tuning and quantization, LLM integration and swapping, high-performance FastAPI backends, vector search and retrieval, containerized deployment, and monitoring for latency, cost, and reliability.

Design, operate, and troubleshoot enterprise infrastructure to improve stability and availability. Manage servers, virtualization (VMware/OLVM), and Intel enterprise hardware. Automate tasks with Bash, Python, and Ansible. Coordinate across teams, handle multiple priorities, and communicate effectively to enhance customer and stakeholder satisfaction.

Lead technical programs end-to-end: break down complex engineering goals, write specs, create system designs, manage cross-team execution, allocate resources, remove bottlenecks, and communicate progress to senior leadership and partners.