Lead Software Engineer-Kubernetes | Infrastructure As Code | Terraform | Ephemeral Environments
JPMorgan Chase · Posted Oct 19
Global banking, investment, credit card, mortgage, and asset management services
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About the role
The Commercial & Investment Bank Payments Technology team is an agile organization that builds and delivers trusted, secure, stable, and scalable technology products supporting the firm's business objectives. The team works across platform engineering, infrastructure automation, and developer tooling, including Kubernetes, infrastructure-as-code, CI/CD, and ephemeral environment provisioning. As a Lead Software Engineer, the role involves hands-on development in Go, Rust, or Java, driving AI-assisted engineering practices, automating remediation, and evaluating architectural designs with vendors and internal teams.
What you will do
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Develops secure and 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
Skills used in this role
What the employer is looking for
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on professional software engineering experience, including building platforms, automating infrastructure, and developing developer tools
- Strong proficiency in Go, Rust, or Java — writing production-grade, well-tested, maintainable code for platform services operating at scale
- Solid experience with Kubernetes — including deployments, namespaces, services, ingress, ConfigMaps/Secrets, and familiarity with custom controllers or operators
- Hands-on experience with infrastructure-as-code (Terraform, Ansible) — writing modules, managing state, and provisioning infrastructure repeatably across environments
- Experience with at least several of the following data technologies in an automation context: Oracle, PostgreSQL, MongoDB, CockroachDB, Cassandra, Kafka, DynamoDB
- Experience building or extending CI/CD pipelines (Jenkins, Spinnaker, GitHub Actions, or Argo CD) — including custom stages, shared libraries, and webhook integrations
- Understanding of distributed systems fundamentals — networking, service discovery, DNS, load balancing, and the operational challenges of multi-service architectures
- 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
Preferred qualifications
- Environment provisioning systems (namespace-per-PR, composable/virtual environments)
- Service mesh (Istio/Linkerd): traffic routing, header-based matching, traffic splitting
- Test data management: snapshot/restore automation, masking, synthetic data generation
- Developer experience tooling: CLIs, Backstage/dev portals, API docs, self-service workflows
- Container networking/connectivity: cross-cluster, hybrid cloud/on-prem, regulated environment compliance/auditability
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
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