Software Engineer - Compute Infrastructure

Linked In is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun where everyone can succeed.

Join us to transform the way the world works.

At Linked In, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a Linked In office on select days, as determined by the business needs of the team.

Linked In operates one of the largest privately managed compute infrastructures in the world outside the public cloud providers. As a Staff Software Engineer on the Compute Infrastructure team, you will help build and evolve the platform that powers Linked In at every layer — the real-time services behind products serving over a billion members, large-scale data and analytics pipelines processing petabytes daily, and the AI/ML infrastructure driving recommendations, search relevance, and generative AI at scale.

The Compute Infrastructure stack is Linked In'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 Linked In 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.

• Enable thousands of Linked In 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 Linked In'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

• 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…