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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - Compute Infrastructure - **Company:** LinkedIn Corporation - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $175,000.0 - $287,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Programming, Programming Tools, Distributed Systems, Python (Programming Language), Open Source Technology, Software Engineering, Autoscaling, System Availability, Backend, Kubernetes, Information Technology, Golang - **Published:** July 23, 2026 - **Apply:** https://www.juju.com/job/00000000gilezp ## About the Role + BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience + 4+ years of industry experience in software design, development, and algorithm-related solutions + 4+ years of experience programming in languages such as Go or Python + Hands-on experience developing distributed systems, large-scale platforms, or backend services + Experience with Kubernetes or similar container orchestration platforms Preferred Qualifications + BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience + Experience architecting, building, and operating large-scale distributed systems + Experience with Kubernetes controller development and cluster lifecycle automation + Experience contributing to or maintaining open-source projects + Demonstrated ability to leverage agentic development tools and workflows to accelerate engineering productivity Suggested Skills + Distributed Systems + Golang + Kubernetes + Technical Leadership ## Description The Compute Infrastructure stack is LinkedIn's internal private cloud, purpose-built to meet the company's unique scaling challenges. The platform is deeply Kubernetes-centric and continuously evolving to stay at the forefront of industry trends. You will work on problems that span large-scale workload orchestration, multi-cluster operations, platform reliability and efficiency, GPU compute optimization for AI/ML, and fleet health at scale - all at a scale that few organizations in the world encounter. In this role, you will design and implement solutions that enable LinkedIn to scale its compute infrastructure to meet the demands of a rapidly growing user base and an ever-expanding product portfolio. You will work closely with a team of talented engineers to develop and operate systems that are robust, scalable, and efficient. You will also collaborate with cross-functional teams and thrive in a fast-paced, dynamic environment. Responsibilities + Enable thousands of LinkedIn engineering teams to deploy and operate reliably - driving impact across areas such as CI/CD pipelines that deliver a seamless developer experience, a workload platform that provides resilient orchestration at scale, a self-healing host management system with intelligent health detection and automated remediation, Kubernetes cluster lifecycle and infrastructure, and GPU compute infrastructure powering AI/ML workloads, all underpinned by intelligent autoscaling, resource allocation, and capacity management + Accelerate LinkedIn's product velocity by improving platform observability, deployment safety, and release throughput + Shape technical direction across team boundaries, ensuring the platform evolves ahead of demand from new products, AI workloads, and growth + Strengthen the team by mentoring engineers, raising the technical bar, and fostering a culture of engineering excellence + Resolve deep production issues that cut across Kubernetes internals, operating system behavior, and distributed system interactions, A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Retooling and refactoring - an investment in people.](https://www.wearedevelopers.com/videos/371-retooling-and-refactoring-an-investment-in-people) - [Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes](https://www.wearedevelopers.com/videos/100356-super-scaling-for-the-super-bowl-how-to-survive-30-million-users-hitting-your-backend-in-30-minutes) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Are Software Engineer Wages Being Pushed Down? 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