Senior Lead Software Engineer - On Prem OpenShift Platform

JPMorgan Chase; Jersey City (NJ); On-site; USD 170,000 - 230,000; Full time

Job summary

JPMorganChase is seeking a Senior Lead Software Engineer to design and build the software layer for an enterprise-scale OpenShift platform. You will focus on private cloud solutions enabling Kubernetes-based platforms across on-premises and public cloud environments, with self-service workflows and platform tooling developed in collaboration with infrastructure teams.

You will contribute to secure, production-grade code, architect complex platform components, and document capabilities to drive

Qualifications

• 5+ years of applied experience in infrastructure engineering.
• Experience delivering production services.
• Proficiency in Go or Python with production systems.
• Strong knowledge of distributed systems, API design, observability.
• Hands-on Kubernetes and containers in production.
• Experience with OpenShift/Kubernetes platform software.
• CI/CD practices and GitOps patterns.
• Experience with GitOps tooling (Argo CD, Tekton, Jenkins, GitHub Actions).
• Secure engineering practices (authN/authZ, secrets handling, vulnerability remediation).
• Ability to review AI-assisted recommendations and ensure security and resiliency.

Responsibilities

• Design and implement platform services for workload onboarding and lifecycle management.
• Build Kubernetes-native automation and operators.
• Integrate platform services with identity, secrets, policy, and observability.
• Develop tools for multi-cluster operations and governance.
• Implement CI/CD for platform software with testing and rollback strategies.
• Collaborate with infrastructure engineers to meet reliability and performance goals.
• Deliver secure, high-quality production code for private cloud infrastructure services.
• Document platform capabilities with documentation, examples, and references.
• Promote reuse of AI-assisted practices across delivery and automation routines.

Skills

Go

Python

Distributed systems

AI-assisted engineering

Tools

Kubernetes

OpenShift

GitOps

Argo CD

Tekton

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

• Design and implement platform services that enable workload onboarding and lifecycle management (provisioning, policy/guardrails, quotas, templates, golden paths).
• Build Kubernetes-native automation, including custom controllers/operators where appropriate.
• Integrate platform services with identity, secrets, policy, observability, and CMDB/service-catalog patterns as required.
• Develop tools and services for multi-cluster operations, cluster onboarding, configuration standardization, and compliance reporting.
• Implement CI/CD for platform software with engineering rigor, including testing, code review, static analysis, release versioning, and rollback strategies.
• Collaborate with infrastructure engineers to define reliability and performance requirements and to reduce operational friction through automation and clear interfaces.
• Deliver secure, high-quality production code that supports scalable, reliable private cloud infrastructure services.
• Produce architecture and design artifacts for complex platform components and ensure constraints are met throughout implementation.
• Document platform capabilities through high-quality documentation, examples, and reference implementations to drive adoption.
• Uses enterprise-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.
• Leads reuse-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 in Go 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 with Kubernetes and containers in 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.

ABOUT US

JPMorganChase, one of the oldest financial institution