Lead Software Engineer- AWS Terraform -Infrastructure as Code (IaC)

As a Lead Software Engineer at JPMorganChase Commercial and Investment Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities - Design, build, and operate scalable cloud infrastructure with a strong focus on reliability, security, and operability - Develop and maintain Infrastructure as Code (IaC) patterns (reusable modules, consistent standards, safe deployments) - Improve CI/CD and deployment automation across services and environments - 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. - Own and improve observability : monitoring, alerting, logging, dashboards, and actionable runbooks - Participate in on-call rotations and incident response; drive high-quality postmortems and follow-through - Partner closely with developers to improve system design, performance, and operational maturity - Strengthen engineering quality via PR reviews , shared standards, and knowledge sharing Required qualifications, capabilities, and skills - A. Formal training or certification on software engineering concepts and 5+ years applied experience - Hands-on practical experience on AWS: ECS, EKS, Lambda, API Gateway, S3, DynamoDB, IAM, VPC, CloudWatch, KMS - Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. - Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices - Proficient in Terraform (modules, state management, workspaces) - Advanced understanding of Infrastructure as Code best practices (strong IaC and CI/CD patterns) - Good hands on Networking fundamentals: load balancers, DNS, firewalls, VPNs , Jenkins (pipelines, Groovy, shared libraries), Spinnaker (pipelines, deployment strategies, canary/blue-green), GitOps workflows, Containers and orchestration: Docker, Kubernetes/EKS - Artifact management: Nexus, ECR, JFrog - Experience with R eliability, Observability, Security, Compliance, Scripting and automation using Python, Bash, Go , JSON and Restful API Preferred qualifications, capabilities, and skills - Good to have performance engineering basics - nice to have Cost optimization experience (FinOps mindset)