Staff Software Engineer - Compute Infra (Kubernetes)

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights.

Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume we transform lives through innovative products and technology.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.

In the Compute Infrastructure SRE team at LinkedIn, you will be charged with building the next-generation infrastructure and platforms for LinkedIn.

This is a unique opportunity to work on a high-profile, high-impact ongoing project that will touch every aspect of our engineering organization.

Specifically, the LinkedIn Kubernetes Infrastructure team provides an on-premises Kubernetes platform for the entire company.

The team provides the capability to efficiently create Kubernetes clusters on-demand, scale the clusters beyond the current industry limits, automate upgrades, and intelligently detect and remediate cluster health, etc.

In this role, you will have the opportunity to enable LinkedIn to scale its Compute Infrastructure to meet the demands of a rapidly growing user base.

This will involve working closely with cross-functional teams and being comfortable operating in a fast-paced, dynamic environment.

Responsibilities : * Build and manage one of the largest on-prem Kubernetes use cases in the world, with a focus on Site stability and security.

• Design, architect and develop Kubernetes controllers, operators and control plane components to automate cluster management tasks.
• Scale Kubernetes clusters to meet LinkedIn’s compute requirements.* Mentor and guide junior engineers in best practices for Kubernetes development and operations, define our culture, and grow talent in the team.
• Provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical infrastructure programs.
• Contribute to Kubernetes open-source projects and collaborate with the community.* Enhance the observability and availability of underlying systems.
• Diagnose technical problems, debug in production environments, and automate routine tasks.Basic Qualifications : * BA / BS Degree in Computer Science or related technical discipline, or related practical experience.
• 5+ years of industry experience in software design, development and managing production systems.* 3+ years of experience in managing and scaling Kubernetes infrastructure.
• 4+ years of industry experience in software design, development, and algorithm related solutions.* 4+ years programming experience in languages such as Python, Java, Javascript, C / C++, C#, Objective-C, Ruby, etc.

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* Extensive experience in architecting, building and running distributed large-scale Kubernetes based systems in production.

• Proficiency in Kubernetes controller development and automating cluster management.* Familiarity with CI / CD pipelines and DevOps practices.
• Contributions to open-source projects, especially in the Kubernetes ecosystem.Suggested Skills : * Kubernetes* Golang* Technical LeadershipYou will Benefit from our CultureWe strongly believe in the well-being of our employees and their families.

That is why we offer generous health and wellness programs and time away for employees of all levels.LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $147,000 - $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location.

This may differ in other locations due to cost of labor considerations.The total compensation package for this position may also include annual performance bonus, stock, benefits and / or other applicable incentive compensation plans.

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