Lead Python Backend Engineer — AWS API & Scalable Systems

JPMorganChase; Plano (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer in Plano, TX to join the Commercial & Community Banking technology team. You will design and implement AWS cloud-native microservices using Python, manage IaC with Terraform/CloudFormation, and lead AI-assisted engineering practices to improve quality and delivery speed.

The role emphasizes secure, scalable production systems, end-to-end CI/CD, and strong collaboration across product/platform/SRE/security teams.

Qualifications

• 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

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.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities.
• 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, and modernize dependencies while collaborating across teams.

Skills

AWS

Python

CI/CD

Terraform

ECS/Fargate

EKS

Serverless

IAM/Security

Observability

OpenTelemetry

Tools

Terraform

CloudFormation

GitHub Actions

CodePipeline

CloudWatch

X-Ray

S3

RDS/Aurora

DynamoDB

Job description

JPMorganChase is seeking a Lead Software Engineer in Plano, TX to join the Commercial & Community Banking technology team. You will design and implement AWS cloud-native microservices using Python, manage IaC with Terraform/CloudFormation, and lead AI-assisted engineering practices to improve quality and delivery speed.

The role emphasizes secure, scalable production systems, end-to-end CI/CD, and strong collaboration across product/platform/SRE/security teams.