Join LinkedIn's Compute Infrastructure Team and Shape the Future of Professional Networking
At LinkedIn, we're on a mission to create economic opportunity for every member of the global workforce. As the world's largest professional network, we're committed to helping professionals achieve their career goals and connecting them with the right opportunities. Our vision is built on a foundation of innovative technology, and we're seeking a highly skilled Senior Staff Software Engineer - Compute Infrastructure to join our team.
About the Role
As a Senior Staff Software Engineer on our Compute Infrastructure team, you'll play a critical role in designing and implementing the underlying technology that powers our platform. You'll be responsible for developing and operating large-scale distributed systems, building high-performance scheduling and deployment solutions, and driving the overall compute infrastructure strategy. If you're passionate about building scalable and efficient systems, and have a proven track record of technical leadership, we want to hear from you.
Key Responsibilities
- Directly contribute to LinkedIn's Compute Infrastructure strategy, driving the development of scalable and efficient systems that meet the demands of our rapidly growing user base.
- Design and implement a platform that allocates hardware resources with necessary physical/logical distribution for fault tolerance and easy maintenance, ensuring high availability and reliability.
- Build and operate world-class high-performance scheduling and deployment solutions, including some of the world's largest Kubernetes clusters, to efficiently place stateless/stateful services, ML workloads, and short-running jobs.
- Help up-level and coach a large team of talented developers, providing technical guidance and mentorship to ensure their success.
- Collaborate with cross-functional teams to drive consensus and alignment on technical decisions, ensuring that our compute infrastructure meets the needs of our engineering organization.
Essential Qualifications
- 5+ years of industry experience in software design, development, and algorithm-related solutions, with a strong background in object-oriented programming languages such as Java, Go, C/C++, Rust, or Python.
- Hands-on experience developing large-scale distributed systems, with a deep understanding of operating system fundamentals, container technologies, and systems knowledge.
- 2+ years of experience as an architect or technical leadership position, with a proven track record of driving technical decisions and leading teams.
- BS/BA in Computer Science or related technical field, or equivalent technical experience.
Preferred Qualifications
- 10+ years of experience in software design, development, and algorithm-related solutions, with at least 5 years of experience in a technical leadership position.
- 10+ years of programming experience in an object-oriented programming language, with a strong background in languages such as Go, Java, C/C++, or Rust.
- 5+ years of experience building large-scale compute infrastructure and distributed systems, with a deep understanding of Kubernetes, IaaS systems, and capacity management.
- Experience leading technical teams and mentoring other engineers, with a strong track record of driving technical growth and development.
- Experience building and operating cluster management solutions such as Kubernetes, with a deep understanding of networking and security principles.
Skills and Competencies
To succeed in this role, you'll need to possess a strong technical skillset, including:
- Distributed Systems: Experience designing and implementing large-scale distributed systems that are scalable, efficient, and reliable.
- Kubernetes: Hands-on experience with Kubernetes, including building and operating large-scale Kubernetes clusters.
- Technical Leadership: Proven track record of technical leadership, with experience driving technical decisions and leading teams.
Career Growth Opportunities and Learning Benefits
At LinkedIn, we're committed to supporting the career growth and development of our employees. As a Senior Staff Software Engineer on our Compute Infrastructure team, you'll have the opportunity to:
- Work on high-impact projects that drive the future of our platform.
- Collaborate with experienced engineers and technical leaders to drive technical decisions.
- Develop new skills and technologies, including Kubernetes, distributed systems, and cloud computing.
- Take on leadership roles and mentor other engineers, driving technical growth and development.
Work Environment and Company Culture
At LinkedIn, we believe in creating a work environment that's inclusive, collaborative, and supportive. Our culture is built on a foundation of:
- Trust: We trust each other to do our best work, where it works best for us.
- Innovation: We're committed to innovating and experimenting, driving new ideas and solutions.
- Diversity: We believe in the power of diversity, and are committed to creating an inclusive workplace where everyone can succeed.
We're a remote-friendly company, with options for hybrid and remote work arrangements. Our offices are located in Mountain View, CA, and Bellevue, WA, but we're open to remote work arrangements in other locations within the US.
Compensation, Perks, and Benefits
We offer a competitive compensation package, including:
- A salary range of $180,000 to $300,000, depending on experience and location.
- Annual performance bonus and stock awards.
- Comprehensive benefits, including health and wellness programs, time away, and more.
We're committed to fair and equitable compensation practices, and are proud to be an equal opportunity employer.
Conclusion
If you're a highly skilled Senior Staff Software Engineer with a passion for building scalable and efficient systems, we want to hear from you. Join our Compute Infrastructure team and help shape the future of LinkedIn's platform. Apply now and let's discuss how you can become a vital part of our success story.
We're committed to diversity and inclusion, and welcome applications from candidates of all backgrounds and experiences. If you need a reasonable accommodation to apply or participate in the interview process, please contact us at [email protected].
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