Lead Software Engineer - Python, AWS, BigData
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, test, and maintain scalable and secure big data pipelines and architectures using Python and AWS services.
- Lead adoption and effective use of AI-assisted software development tools to improve code quality, delivery speed, and operational stability.
- Evaluate external vendors and internal team architectural proposals to ensure fit within existing systems and drive technical decisions.
Minimum Requirements
- 5+ years of software engineering experience with formal training or certification.
- Hands-on experience with big data platforms, data engineering concepts, data pipeline development, and Python programming including FAST API and Spark.
- Technical competence with AWS services including Lambda, Glue, Step Functions, ECS, and infrastructure provisioning using Terraform.
- Experience leading use of AI-assisted engineering tools with knowledge of secure coding, operational stability, and data sensitivity standards.
Ideal Candidate Profile
- Experienced in end-to-end big data system design and operational support in large enterprise environments.
- Proven track record of leading technical adoption of AI-assisted development tools and coaching teams on responsible, secure AI use.
- Ability to independently handle complex design and functionality challenges with minimal oversight in agile settings.