Software Engineer III- Python / AWS / AI Enablement

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

As a Software Engineer III- Python / AWS / AI Enablement at JPMorganChase within the Asset & Wealth Management Technology team, you will design and build scalable services and platforms that power investment and wealth solutions.

You will work hands-on across application code and cloud infrastructure, delivering reliable, secure, and well-observed systems.

You'll collaborate closely with product, engineering, data/AI partners, and control functions to enable modern AI capabilities (including MCP and AI tooling integrations) while maintaining high standards for engineering excellence and operational stability.

Job Responsibilities


* Design, develop, test, and deploy Python-based microservices, APIs, and data-driven applications supporting AWM business workflows and platforms.


* Build and operate cloud-native solutions on AWS (or equivalent cloud platforms), focusing on scalability, resiliency, performance, and cost awareness.


* Implement MCP (Model Context Protocol) and integrate AI tools to enable safe, consistent, and reusable model/application interactions and developer workflows.


* Develop and maintain infrastructure and automation using infrastructure-as-code and CI/CD practices.


* Leverage 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.


* Apply 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.


* Collaborate with cross-functional teams to define technical requirements, design patterns, and service interfaces; participate in architecture and code reviews.


* Establish strong observability practices (logging, metrics, tracing), drive incident response readiness, and continuously improve operational excellence.


* Contribute to secure engineering practices (authentication/authorization patterns, secrets management, dependency hygiene, and SDLC controls).


* Mentor junior engineers and contribute to a culture of inclusion, ownership, and continuous improvement.

Required Qualifications, Capabilities, and Skills


* Formal training or certification on software engineering concepts and 3+ years applied experience


* Python development experience (building production services/applications).


* Hands-on experience with AWS or another major cloud platform (designing, deploying, and operating cloud workloads).


* Working knowledge of MCP (Model Context Protocol) and exper...