Lead Software Engineer - Python​/Backend​/AWS​/API

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As a Lead Software Engineer at JPMorgan

Chase 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.

• 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/Cloud Formation) 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 Cloud Watch/X-Ray/Open Telemetry).
• 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.

• 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): API design, validation, downstream integrations
• Deliver serverless workloads on AWS (Lambda + API Gateway/Event Bridge/Step Functions) with IAM scoping, concurrency, and tuning
• Containerize and deploy to ECS/Fargate and/or EKS with sizing, autoscaling, and rollout strategies
• Design and operate data stores (RDS/Aurora, DynamoDB) including schema/indexing/partitioning and performance optimization
• Use caching (Elasti Cache/Redis) to optimize throughput/latency under load
• Build Infrastructure as Code (Terraform/Cloud Formation): reusable modules, env separation, drift control
• Own CI/CD (Code Pipeline/Code Build/Code Deploy and/or Git Hub Actions) with automated tests and quality gates
• Implement observability + reliability (Cloud Watch, X-Ray/Open Telemetry), SLIs/SLOs, alerting, incident response/RCA
• Enforce AWS security/compliance: least-privilege IAM, KMS, secrets…