Description

Join a dynamic team where your expertise in data-driven platforms and product delivery will drive impactful solutions. Grow your skills and career with us.

As a Lead Software Engineer at JPMorgan Chase within the Chief Technology Office team, you will deliver cutting-edge data and insights products that empower our business. You will work collaboratively in Agile sprint-based teams, building applications that support technical governance and reference data platforms. We value your ability to create user-centric dashboards and reports, as well as resilient backend services. Together, we foster a culture of continuous improvement and support.

Job responsibilities

- Deliver software solutions in Agile sprint-based teams
- Build and maintain asset management, technical governance, or reference-data-driven platforms
- Develop and integrate REST APIs, SQL, and data-intensive applications
- Design and implement ETL processes, data pipelines, and cross-system feeds
- Create UI dashboards, reports, and insight-oriented features
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.




- Develop backend services, workflow logic, and user-facing components
- Apply strong testing, debugging, and production support practices

Required qualifications, capabilities and skills

- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience delivering software in Agile sprint-based teams
- Strong understanding of asset management, technical governance, or reference-data-driven platforms
- Hands-on experience with REST APIs, SQL, and data-intensive application development
- ETL / ingestion and data pipeline thinking, including schema/data handling and cross-system feeds
- Experience building UI dashboards, reports, and insight-oriented features
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on secure, compliant adoption within delivery practices
- Ability to build across backend services, workflow logic, and user-facing components
- Strong testing, debugging, and production support mindset

Preferred qualifications, capabilities and skills

- AWS and cloud-native platform experience
- GenAI / LLM or enterprise search experience
- Observability, security, and authentication experience
- CI/CD, containerization, and platform modernization experience

📌 Lead Software Engineer - Data Platforms, REST APIs, SQL (Madhavaram)
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📍 Madhavaram