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 libra...