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) Carry out critical tech solutions across multiple technical areas as an integral part of an agile team.

Requirements

Must-haves

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

Nice-to-haves

Preferred Qualifications, Capabilities, and Skills:
Implement async processing/messaging (SQS/SNS, EventBridge; MSK/Kinesis a plus)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

agileawspythonaici/cdapi

Platform: oracle-cloud
Effort: medium