Staff Software Engineer, Systems Infrastructure (Kubernetes)

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

As a Staff Software Engineer of the Compute Infrastructure team at LinkedIn, you will play a crucial role in our ongoing efforts to re-architect our compute infrastructure stack. This is a high-profile, high-impact project that will touch every aspect of our engineering organization. We are looking for experienced professionals who have a proven track record of designing large-scale compute infrastructure and driving consensus.

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. This will involve working closely with a team of experienced engineers to develop and operate solutions that are robust, scalable, and efficient. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced, dynamic environment.

If you are passionate about building the underlying technology that powers one of the world's most-used internet applications, and have the skills and experience to help us take our compute infrastructure to the next level, we want to hear from you. Apply now to join our team and help shape the future of LinkedIn.

Responsibilities:

• Own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
• Design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
• Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance.
• Communicate with the team, partners and stakeholders.
• Mentor other engineers, define our challenging technical culture, and help to build a fast-growing team.
• Deliver incremental impact by driving innovation while iteratively building and shipping software at scale.
• Diagnose technical problems, debug in production environments, and automate routine tasks.
• Ensure Kubernetes fits seamlessly into LinkedIn's Infrastructure stack and the thousands of LinkedIn developers that will leverage it each day find it's offerings comprehensive and their transition to it smooth.
• Ensure LinkedIn's core scheduling/deployment infra stack's offerings stay close to the industry's bleeding edge while being secure, highly performant and with effective resource utilization.

Basic Qualifications:

• Bachelor's degree in Computer Science or related technical discipline, or related practical experience.
• 8+ years of industry experience in software design, development, and algorithm related solutions.
• 8+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages.
• Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs.
• 2+ years of experience as an architect, or in a technical leadership position.
• Experience building and operating a Kubernetes infrastructure platform.

Preferred Qualifications:

• 5+ years of experience building large-scale compute infrastructure platforms and distributed systems.
• Demonstrated understanding of operating system fundamentals, container technologies, and systems knowledge.
• Core development experience with industry, open-source projects and/or academic research in container orchestration technologies like Kubernetes, Mesos, Docker Swarm, OpenShift etc.
• Experience with leading technical teams and mentoring other engineers.
• Experience with open-source project management and governance.

Suggested Skills:

• Distributed Systems
• Golang
• Technical Leadership