Top Tech Jobs & Startup Jobs in Delhi

Design, develop, test, deploy and maintain data-centric software and ETL/ELT pipelines. Ensure data architecture alignment, data modelling, integration, transformation and delivery across data platforms. Implement CI/CD, configuration management, troubleshoot and upgrade systems, document functionality, participate in DR tests, mentor team members, and support quality assurance and operational feasibility in an enterprise environment.

Lead governance of IT changes to Production and DR, review and approve high-risk changes, improve change quality and success, produce training materials, and apply AI/LLM tooling to accelerate and automate change reviews while ensuring human oversight and auditability.

Lead and develop high-performing teams at NAB Innovation Centre India, driving operational and technology excellence to deliver improved customer experiences, support innovation initiatives, and foster inclusive culture while enabling flexible work and career development.

Lead legal support for NAB India on employment, labour and contentious matters. Advise on employment agreements, restructurings, investigations, litigation, regulatory inquiries, and commercial contracts. Provide pragmatic legal solutions, manage outside counsel, and deliver training and policy guidance to business stakeholders.

Design, develop, test, deploy and maintain Java-based microservices. Contribute to system design and documentation, support production fail/fix, implement CI/CD and automated testing, and ensure cloud-native performance and resilience. Collaborate with stakeholders and support post-implementation reviews.

Lead and deliver cloud-native, mission-critical microservices platforms (Java/Spring Boot/Kafka) across the full SDLC. Drive architecture, CI/CD, automated testing, resilience, documentation, and operational feasibility. Mentor engineering teams, influence stakeholders, ensure quality and regulatory compliance, and improve software delivery practices. Payments/financial services experience preferred.

The Data Engineer will build and optimize data pipelines, using SQL and Python while working collaboratively to support business analytics and AI initiatives.

Lead deployment and ongoing governance of Active Operations Management (AOM). Coach leaders, facilitate workshops, drive AOM certification, embed metric-driven improvements, analyze operational data for insights, manage enterprise change requests, and engage senior stakeholders to realize efficiency and service benefits.

Lead technical delivery and stakeholder relationships for scalable, secure web services. Hands-on in architecture, implementation, CI/CD, cloud solutions, messaging systems, databases, team mentoring and project financials.

Design, build, and maintain scalable data pipelines, implement data quality and governance, optimize data processing performance, and collaborate with data scientists, analysts, product teams, and stakeholders to deliver analytical solutions that meet business needs.