Lead Software Engineer - Python/Backend/AWS/API
JPMorgan Chase · Plano, United States +1 · 10h ago
Staff / Lead / PrincipalOn-siteSoftware Engineering
Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You’ll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.
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): API design, validation, downstream integrations
- Deliver serverless workloads on AWS (Lambda + API Gateway/EventBridge/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 (ElastiCache/Redis) to optimize throughput/latency under load
- Build Infrastructure as Code (Terraform/CloudFormation): reusable modules, env separation, drift control
- Own CI/CD (CodePipeline/CodeBuild/CodeDeploy and/or GitHub Actions) with automated tests and quality gates
- Implement observability + reliability (CloudWatch, X-Ray/OpenTelemetry), SLIs/SLOs, alerting, incident response/RCA
- Enforce AWS security/compliance: least-privilege IAM, KMS, secrets (Secrets Manager/SSM), VPC patterns, CloudTrail/Config/GuardDuty/Security Hub, and audit support
Preferred Qualifications, Capabilities, and Skills:
- Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.
- Strong problem-solving, analytical, and communication skills.
- Ability to drive broader impact by sharing and contributing best practices across teams.
- Experience in the banking/financial services domain.
- AWS certification(s) (e.g., Solutions Architect, Developer, DevOps Engineer).
- Implement async processing/messaging (SQS/SNS, EventBridge; MSK/Kinesis a plus)