Lead Software Engineer - Python, Data, Cloud, AIML
JPMorgan Chase & Co. (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and delivery of cloud-native data engineering and AIML production-scale solutions within Markets Research Technology team.
- Execute hands-on development, architecture, and troubleshooting of secure, scalable software including microservices and distributed systems using Python and modern big data/cloud technologies.
- Drive adoption and governance of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, establishing measurable validation standards across the SDLC.
Minimum Requirements
- Proficient coding skills in Python and experience with modern programming languages and database querying in corporate environments.
- Experience leading use and governance of enterprise AI-assisted software development tools with understanding of responsible AI practices.
- Proven experience in system design, developing microservices, distributed systems, and production-scale cloud-native data engineering solutions.
- Work Experience Required: Formal training or certification in software engineering concepts and proficient years of applied experience (exact years not explicitly mentioned).
Ideal Candidate Profile
- Experienced technical leader comfortable with hands-on software engineering, cloud infrastructure, and data/AIML engineering in commercial or financial sector environments.
- Strong capability in designing and implementing secure, scalable microservices and distributed systems leveraging AWS cloud and modern data engineering tools.
- Familiarity with MLOps, Kubernetes/Docker, and emerging AI/ML technologies (e.g. LLMs, RAG, Knowledge Graphs) enhancing AI-assisted development workflows.