Lead Software Engineer - Python, AWS, BigData
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and deliver secure, stable, and scalable data collection, storage, and analytics solutions as part of an agile team.
- Develop, test, and maintain data pipelines and architectures supporting diverse business functions.
- Lead adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational stability.
Minimum Requirements
- 5+ years of applied software engineering experience with formal training or certification.
- Hands-on experience with Big Data platforms, data engineering, and developing data pipeline processes.
- Proficiency in Python, FAST API, Spark, and AWS services including Lambda, Glue, Step Function, ECS, and Terraform for infrastructure provisioning.
- Experience leading use of approved AI-assisted software development tools and strong understanding of responsible AI use in engineering workflows.
Ideal Candidate Profile
- Experienced in end-to-end system design, application development, testing, and operational stability in data-driven environments.
- Capable of independent problem solving and technical troubleshooting with minimal oversight.
- Familiarity with generative AI solutions like NLP, LLM models, and prompt engineering, preferably with hands-on work experience implementing these technologies on AWS.