Senior Software Engineer - Virtualization & Cluster

Salary: $61,000 - 101,000 per year Requirements:

• We are seeking 8+ years of hands-on software engineering experience building and operating production systems, or equivalent depth of experience.
• We need strong system design fundamentals, including API design, data modeling, testing strategy, and operational reliability.
• We are looking for proficiency in Go, Java, or Python for scalable server-side development.
• We require experience in system design and data modeling.
• We need a solid understanding of virtualization automation, including VM lifecycle and core resources such as CPU, memory, storage, and networking.
• We require hands-on experience automating OpenShift/Kubernetes cluster lifecycles and day-2 operations, including upgrades, configuration management, and policy or compliance alignment.
• We expect experience building and supporting automated workflows in complex distributed environments, along with strong troubleshooting ability.
• We need working knowledge of security and compliance expectations, including authentication and authorization, secrets handling, data integrity, and secure SDLC practices.
• We require experience with workflow orchestration at scale, with Temporal strongly preferred and similar platforms considered.
• We need strong communication skills and the ability to influence peers across global teams.
• Preferred experience includes mentoring engineers and elevating engineering standards.
• Preferred familiarity with hypervisor environments such as VMware ESXi, OpenShift, and KVM.
• Preferred cloud-native experience across containers, CI/CD, observability, and reliability engineering.
• Preferred passion for innovation, AI, and continuous improvement.

• We will design, develop, and troubleshoot software solutions for virtualized cluster lifecycle automation.
• We will automate provisioning, configuration, patching, compliance enforcement, and decommissioning through platform APIs.
• We will promote enterprise-approved AI-assisted engineering practices to improve code quality, delivery speed, and operational results.
• We will use SDLC tooling, including approved AI-assisted development and automation capabilities, to increase the value of our automation.
• We will identify and remove recurring issues through automation to strengthen operational stability.
• We will lead production deployments, own technical solutions, and diagnose issues using structured troubleshooting methods.
• We will contribute to large-scale infrastructure initiatives.
• We will document design decisions to improve auditability.
• We will mentor engineers through design reviews, code reviews, and technical guidance.
• We will collaborate with and influence peers across global teams.

• AI
• API
• CI/CD
• Cloud
• Support
• Java
• KVM
• Kubernetes
• OpenShift
• Python
• Security
• VMware
• DevOps
• Marketing

More:

We are JPMorganChase, working with hackajob to connect with exceptional professionals for this role. This opportunity sits within our On Premise and Next Generation Infrastructure team, where we deliver a first-class private cloud offering and aim for a consistent user experience across on-premise and public cloud environments. We are a small, fast-moving agile team spanning global locations, and we value innovation, AI-enabled engineering, and continuous improvement. We offer a competitive total rewards package and a range of benefits, including comprehensive health care, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching, subject to eligibility. We are committed to diversity and inclusion, and our Corporate Functions teams play an essential role in supporting our business, clients, customers, and employees.

last updated 40 week of 2026