Software Engineer III - Java / Data

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

Role Summary

As a Software Engineer III at JPMorgan Chase within J.P.

Morgan Chase's Corporate Technology - Data Core Engineering (DCE) group, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.

You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

You are a senior hands-on technical contributor who designs, builds, and operates the platforms that power data controls, cataloging, and core data services across the firm.

You own solutions end to end: you write and review production code, make architectural decisions, and stand behind the reliability of what you ship.

This is a builder's role - engineering is the primary mandate, and operational excellence is the natural outcome of the way you engineer.

Job Responsibilities


* Designs, develops, and delivers secure, high-quality production code for distributed microservices, and review and debug code written by others.


* Makes and defends architectural and design decisions, balancing delivery speed with long-term maintainability, resiliency, and cost.


* Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.


* 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.


* Builds reliability into the software from the start - instrument services with meaningful telemetry, define and track service-level objectives, and design for failure with patterns such as graceful degradation, circuit breakers, retries, and redundancy.


* Eliminates operational toil by engineering automation, tooling, and self-healing workflows rather than absorbing manual work.


* Owns the run-side outcomes of your services: lead incident triage and root-cause analysis, drive permanent fixes for recurring defects, and feed learnings from post-incident reviews back into the codebase.


* Develops and maintain infrastructure-as-code to automate provisioning and configuration across AWS environments.


* Partner with product and platform teams to translate business needs into technical designs, and represent engineering trade-offs in cross-functional forums.


* Mentors and uplift engineers, promote reuse of patterns, and raise the bar on engineering a...