Lead Software Engineer-AWS and Terraform

Benefits and culture

This onsite role in Wilmington, Delaware supports a collaborative culture within JPMorgan Chase’s Corporate Sector, Commercial and Investment Banking Finance team. You will contribute to secure, scalable technology products while shaping architectural discussions, advancing AI assisted engineering practices, and partnering across teams to drive meaningful outcomes.

• comprehensive health care coverage
• on-site health and wellness centers
• retirement savings plan
• backup childcare
• tuition reimbursement
• mental health support
• financial coaching

Responsibilities

• Develop and implement creative software solutions, handling design, development, and debugging with an ability to tackle problems beyond routine approaches.
• Produce secure, high quality production code and perform reviews and debugging of peers' work.
• Identify opportunities to automate recurring remediation and enhance the overall stability of applications and systems.
• Lead evaluation sessions with external vendors, startups, and internal teams to probe architectural designs and determine applicability within existing information architectures.
• Drive communities of practice across Software Engineering to promote awareness and adoption of new technologies.
• Cultivate a culture of diversity, opportunity, inclusion, and respect within the team.
• Champion enterprise approved AI assisted engineering practices to improve code quality, delivery speed, and operational outcomes, establishing validation standards and promoting reuse of effective patterns across the team.
• Apply knowledge of the SDLC toolchain, including AI assisted development and automation capabilities, to maximize automation value.

Requirements

• Formal training or certification in software engineering concepts plus 5+ years of hands-on experience.
• Hands-on experience delivering end-to-end solutions encompassing system design, application development, testing, and production stability.
• Advanced proficiency in one or more programming languages, including Python.
• Practical cloud native engineering experience, with design and operation of workloads on AWS.
• Strong AWS compute expertise (EC2, ECS/EKS, and/or Lambda) with attention to performance, resiliency, and cost awareness.
• Solid AWS networking knowledge (VPC, subnets, security groups, NACLs, Route 53, load balancers) to craft secure, resilient architectures.
• Experience with AWS storage and data platforms (S3, EBS, EFS; and databases such as RDS/Aurora/DynamoDB as applicable) to support varied application needs.
• Proven Infrastructure-as-Code skills with Terraform, including authoring and maintaining reusable modules, managing remote state and locking, and applying workspace/environment best practices.
• Strong automation and delivery capabilities, including CI/CD pipeline design, integrating Terraform into workflows, automated validation/testing (linting, plan approvals), and scripting (Python, Bash, or PowerShell) to streamline processes.
• Demonstrated experience leading effective use of approved AI assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Solid understanding of responsible AI use in engineering workflows, including handling data securely and coaching engineers on safe, compliant adoption within delivery practices.