Lead Software Engineer - Python, Data, Cloud, AIML
JPMorgan Chase & Co. (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 40–60 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain cloud-native data engineering, backend, and AIML production-scale solutions within the Commercial & Investment Bank's Markets Research Technology team.
- Lead adoption and governance of AI-assisted engineering practices to improve code quality, delivery speed, and operational stability including validating AI outputs for correctness and security.
- Build and oversee engineering stacks including cloud infrastructure, DevOps, MLOps, and data engineering using modern big data technologies and microservices architecture.
Minimum Requirements
- Proficient in Python programming and other modern programming languages and database querying languages.
- Hands-on system design, application development, testing, and operational stability experience in a large corporate environment.
- Experience leading use of enterprise AI-assisted software development tools with knowledge of secure coding, peer review, and automated testing standards.
- Work Experience Required: Formal training or certification in software engineering with proficient applied experience; exact years not explicitly mentioned.
Ideal Candidate Profile
- Experienced in cloud services, Infrastructure as Code, containerization (Docker, Kubernetes, EKS), big data, and modern data engineering technologies with production-scale commercial environment exposure.
- Knowledgeable in responsible AI use, data sensitivity, secure handling, resilient and secure engineering workflows, and coaching senior engineers on these practices.
- Familiarity with financial sector applications, MLOps, LLMs, RAG, Knowledge Graph Technologies, OpenSearch, vector databases, and collaboration with data scientists is advantageous.