Lead Software Engineer - Data Platforms, REST APIs, SQL

JOB 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 innovative 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 safe, 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

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