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 Corporate Technology, 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
- 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 — cloud-managed and on-prem. Runs and troubleshoots K8s at the platform layer, 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 — multi-region, active active, active passive, failover, and cell-based designs.
- Infrastructure-as-Code — Terraform required. Solid hands-on Terraform: module-based, disciplined plan, apply, and safe change management.
- CI/CD & progressive delivery. End-to-end pipeline ownership — blue, green and cell-based rollouts, GitOps, artifact build, and orchestration (e.g., Spinnaker, Jenkins) — 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 — 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
Preferred qualifications, capabilities, and skills
- IAM customer-authentication knowledge — 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 → cloud migration experience.
- "Platform-as-a-product" experience — owning a platform other engineering teams depend on.
- Certs as signal (not gates): AWS Solutions Architect, DevOps Pro, CKA, CKAD, ForgeRock, Ping.
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