Lead Software Engineer- Python / Java- (Cloud Data Platform — AWS/Databricks/Terraform)
JP Morgan Chase
In this Lead Software Engineer role, you will drive secure, scalable software solutions within the Credit Data Pond team of Wholesale credit risk technology. You will serve as a core technical contributor, delivering production-grade code and guiding AI-assisted engineering practices across the SDLC. You will champion secure coding, automated testing, and consistency in architecture and patterns to improve reliability and speed. You will work with cross-functional teams and external partners to shape scalable, trusted technology that supports business objectives.
Responsibilities- Develop secure, high-quality production code and review others’ code
- Lead adoption of enterprise AI-assisted engineering practices with governance and validation standards
- Establish AI-assisted SDLC guardrails for design, coding, testing, deployment, and operations
- Implement repeatable AI-assisted review workflows and quality gates
- Standardize tools across planning, code, build, test, security scanning, release, and operations
- Design CI/CD pipelines with measurable outcomes to improve release reliability
- Identify opportunities to automate recurring issues for stability
- Lead evaluation sessions with vendors, startups, and internal teams to assess architectural designs
- Formal training or certification on software engineering concepts
- Python
- Hands-on experience in system design, application development, testing, and operations
- Advanced in one or more programming languages
- Experience leading use of AI-assisted software development tools with validation of AI outputs for correctness, performance, and security
- Strong understanding of responsible AI use in engineering workflows, data sensitivity, and secure handling
- Proficiency in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies including CI/CD, Application Resiliency, and Security
- Knowledge of the financial services industry IT systems
- Practical cloud-native experience
- leadership
- coaching of engineers
- stakeholder alignment
- Python
- AI-assisted development tools and validation
- CI/CD and DevSecOps
Reference: WJ-747_30179491