Lead Software Engineer - Python/Backend/AWS/API

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

Job summary

JPMorgan Chase in Plano, TX seeks a Lead Software Engineer to join an agile team delivering trusted market-leading technology products in a secure, scalable way. You will design, build, and run AWS cloud-native microservices, lead AI-assisted engineering practices, implement IaC, CI/CD, and observability, and mentor colleagues across product/platform disciplines.

This role emphasizes production-grade code, secure coding, incident RCA, and collaboration with SRE, security, and data teams to drive

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
• 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 (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.

Skills

Cloud AWS

Python backend

CI/CD

Terraform/CloudFormation

Serverless architectures

Security/compliance

AWS certifications

Mentoring

Observability

Incident RCA

Tools

AWS Lambda

ECS/Fargate

EKS

API Gateway

Terraform

CloudFormation

CodePipeline/CodeBuild

OpenTelemetry/X-Ray

CloudWatch

Job description

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)