As a Lead Software Engineer at JPMorganChase within the Corporate Technology, youare 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 firm27s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Production Kubernetes depth 2D cloud-managed and on-prem.Runs and troubleshoots K8s at theplatformlayer, not just "deploys to it": cluster add-ons and their failure modes (cert-manager, admission control, policy-as-code, GitOps, Helm, ingress & load-balancer controllers), RBAC, and control-plane, webhook issues.
• AWS at platform scale, multi-account.EKS, networking (VPC, load balancing, DNS), IAM, KMS secrets, and managed data stores. Fluent across resiliency patterns generally 2D multi-region, active active, active passive, failover, and cell-based designs.
• Infrastructure-as-Code 2D Terraform required.Solid hands-on Terraform: module-based, disciplined plan, apply, and safe change management.
• CI/CD & progressive delivery.End-to-end pipeline ownership 2D blue, green and cell-based rollouts, GitOps, artifact build, and orchestration (e.g., Spinnaker, Jenkins) 2D with strong safe-rollout and rollback judgment.
• Production operational stability, SRE mindset.Incident response, root-cause analysis, resiliency, observability-driven debugging, reducing toil, and hardening production.
• Some coding experience for internal tooling.Able to write scripts/automation and small internal tools (language-agnostic) to improve the platform 2D not a deep hands-on IC requirement, just practical coding fluency.
• 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 all aspects of the Software Development Life Cycle

• IAM customer-authentication knowledge2D ForgeRock (AM, DS) or PingFederate, OAuth2, OIDC, SAML, PKI cert lifecycle. Helpful, but a strong platform engineer who ramps on our stack is fine.
• Resiliency chaos engineering (Game Days, fault injection).
• Secrets management (Vault, KMS, Secrets Manager). Observability depth (Splunk, Dynatrace).
• Managed database ops (Aurora, RDS, DB-change automation).
• On-prem 2D3E cloud migration experience.
• "Platform-as-a-product" experience 2D owning a platform other engineering teams depend on.

• Certs as signal (not gates): AWS Solutions Architect, DevOps Pro, CKA, CKAD, ForgeRock, Ping.