Lead Software Engineer - Python/Backend/AWS/API

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Commercial & Community Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities:


* Execute creative software solutions through design, development, and troubleshooting to solve complex technical problems.


* Deliver end-to-end AWS cloud-native, microservices-based applications using Python and modern engineering best practices.


* Design, build, and evolve distributed systems on AWS using Lambda, ECS/Fargate, and/or EKS aligned to scalability, performance, and cost needs.


* 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.


* Apply domain modeling to structure business products for clarity, testability, and continuous evolution.


* Develop secure, high-quality production code; perform thorough code reviews; debug and remediate issues in others' code.


* Build and maintain AWS infrastructure with IaC (Terraform/CloudFormation) for repeatable, auditable deployments.


* Implement/enhance CI/CD with automated testing and reliable release patterns (blue/green, canary, rollback) for zero-downtime where required.


* Build resiliency + observability (multi-AZ, decoupling, retries/timeouts, idempotency, circuit breakers; logging/metrics/tracing/alerting via CloudWatch/X-Ray/OpenTelemetry).


* Operate and improve production: investigate incidents, lead RCA, prevent recurrence by automating remediation, optimize data stores (Aurora/RDS, DynamoDB, S3), and modernize dependencies while collaborating across product/platform/SRE/security/data and mentoring inclusively.

Required Qualifications, Capabilities, and Skills:


* Formal training or certification on software engineering concepts and 5+ years applied experience.


* Design AWS cloud-native architectures (microservices, event-driven, serverless) meeting availability/latency/DR targets


* Build Python backend services (FastAPI/Flask):...