Senior Lead Software Engineer – On Prem OpenShift Platform

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 160,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Senior Lead Software Engineer to design and build the software layer for an enterprise OpenShift platform. You will enable Kubernetes-based private cloud solutions that deliver a consistent end-user experience across on-premises and public clouds.

You will develop self-service workflows, platform APIs, controllers/operators, and tooling in partnership with infrastructure engineering to drive automation, reliability, and security across the environment.

Qualifications

• Formal training or certification on infrastructure engineering concepts and 5+ years applied experience.
• Experience delivering production services.
• Demonstrated proficiency building production systems in Go and/or Python (strong in at least one).
• Knowledge of distributed systems fundamentals and observability.
• Hands-on experience with Kubernetes and containers in production.
• Experience building platform software for OpenShift/Kubernetes environments.
• Experience implementing CI/CD practices and toolchains for platform software.
• Experience with GitOps and pipeline tooling (Argo CD, Tekton, Jenkins, GitHub Actions).
• Security-minded engineering practices for platform services.

Responsibilities

• Design and implement platform services for workload onboarding and lifecycle management.
• Build Kubernetes-native automation and custom controllers/operators.
• Integrate platform services with identity, secrets, policy, observability, and CMDB patterns.
• Develop tools for multi-cluster operations and platform automation.
• Implement CI/CD for platform software with testing, versioning, and rollback strategies.
• Collaborate with infrastructure engineers to meet reliability and performance goals.
• Deliver high-quality production code for private cloud infrastructure services.
• Produce architecture and design artifacts and maintain documentation.
• Leverage AI capabilities to accelerate analysis and ensure security and auditability.

Skills

Go

Python

distributed systems

Kubernetes

OpenShift

CI/CD

GitOps

AI-assisted engineering

security best practices

observability

Education

Infrastructure engineering certification

Tools

OpenShift

Kubernetes

Argo CD

Tekton/Jenkins/GitHub Actions

Helm/Kustomize

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Senior Lead Software Engineer at JPMorganChase within Enterprise Technology Compute Infrastructure Platforms team, you will design and build the software layer that makes our OpenShift platform usable at enterprise scale. You will focus on private cloud solutions that enable Kubernetes-based hypervisor and container platforms on OpenShift, with the goal of delivering a consistent end-user experience across on-premises and public cloud environments. You will develop self-service workflows, platform APIs, controllers/operators, integrations, automation services, and developer/platform tooling in partnership with infrastructure engineering and key platform stakeholders.

Job Responsibilities

• Designandimplementplatform services that enable workload onboarding and lifecycle management (provisioning, policy/guardrails, quotas, templates, golden paths).
• BuildKubernetes-native automation, including custom controllers/operators where appropriate.
• Integrateplatform services with identity, secrets, policy, observability, and CMDB/service-catalog patterns as required.
• Developtools and services for multi-cluster operations, cluster onboarding, configuration standardization, and compliance reporting.
• ImplementCI/CD for platform software with engineering rigor, including testing, code review, static analysis, release versioning, and rollback strategies.
• Collaboratewith infrastructure engineers to define reliability and performance requirements and to reduce operational friction through automation and clear interfaces.
• Deliversecure, high-quality production code that supports scalable, reliable private cloud infrastructure services.
• Producearchitecture and design artifacts for complex platform components and ensure constraints are met throughout implementation.
• Documentplatform capabilities through high-quality documentation, examples, and reference implementations to drive adoption.
• Usesenterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.
• Leadsreuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable and auditable, and aligned to resiliency and security expectations.

Required qualifications, capabilities and Skills

• Formal training or certification on infrastructure engineering concepts and 5+ years applied experience.
• Experience delivering production services.
• Demonstrated proficiency building production systems inGo and/or Python(strong proficiency in at least one language).
• Demonstrated knowledge of distributed systems fundamentals (API design, concurrency, failure modes, idempotency, retries/timeouts, and observability).
• Hands-on experience withKubernetes and containersin production (Kubernetes primitives, client libraries, manifests, Helm/Kustomize concepts, and deployment patterns).
• Experience building platform software for OpenShift/Kubernetes environments (e.g., platform APIs, automation services, and developer/platform tooling).
• Experience implementing CI/CD practices and toolchains for platform software (testing strategies, release versioning, and rollback), including GitOps patterns.
• Experience with GitOps and pipeline tooling (e.g., Argo CD and Tekton/Jenkins/GitHub Actions, or equivalent).
• Experience applying secure engineering practices in platform services (e.g., authN/authZ, secrets handling, and vulnerability remediation workflows).
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.

Preferred qualifications, capabilities and Skills

• OpenShift development and/or operations familiarity (Operators, RBAC/SCC nuances, routes/ingress patterns).
• Operator/Controller development experience, especially Go + controller-runtime patterns.
• Experience building internal developer platforms (portals, scaffolding, golden paths, policy-as-code, automation frameworks).
• Security-minded engineering experience (authN/authZ, secrets handling, SBOM/signing concepts, vulnerability remediation workflows).
• Experience with multi-cluster and multi-environment platform strategy, enabling consistent user experiences across on premise and public cloud.
• Passion for innovation, AI-assisted engineering, and continuous improvement practices that measurably improve quality and delivery speed.