Sr. Software Engineer, Compute Infrastructure

Overview

Linked In is the world’s 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.

This role will be based in Mountain View, CA. The work location 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.

Sr. Staff Software Engineer, Compute Infrastructure — responsible for re-architecting Linked In’s compute infrastructure stack. This is a high-profile, high-impact project that will touch every aspect of the engineering organization. The role requires designing large-scale compute infrastructure and driving consensus across teams.

• You will directly contribute to Linked In’s Compute infrastructure strategy.
• You will build and operate a platform that allocates hardware resources with necessary physical/logical distribution for fault tolerance and easy maintenance.
• You will build and operate world-class high-performance scheduling/deployment solutions, including some of the world’s largest Kubernetes clusters, to place stateless/stateful services, ML workloads, and short-running jobs efficiently.
• You will help up-level and coach a large team of talented developers.

Basic Qualifications

• 5+ years of industry experience in software design, development, and algorithm-related solutions
• 5+ years of experience programming in object-oriented languages such as Java, Go, C/C++, Rust, Python
• Hands-on experience developing large-scale distributed systems
• 2+ years of experience as an architect or in a technical leadership position
• 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 in a technical leadership position
• 10+ years of programming experience in object-oriented languages (Go, Java, C/C++, Rust)
• 5+ years of experience building large-scale compute infrastructure and distributed systems
• Strong understanding of operating system fundamentals, container technologies, and systems knowledge
• Experience leading technical teams and mentoring engineers
• Experience building and operating cluster management solutions such as Kubernetes
• Experience with IaaS systems and capacity management
• Experience with networking and security principles
• Deep understanding of Kubernetes architecture and components; proven track record deploying, managing, and troubleshooting clusters
• Strong proficiency in Golang
• Knowledge of Kubernetes networking concepts, including CNI and pod networking
• Knowledge of Kubernetes security practices (RBAC, network policies, Pod security policies)
• Proficiency with monitoring/logging tools (Prometheus, Grafana, Fluentd)

Linked In is committed to fair and equitable compensation practices. The pay range for this role is $198,000 to $326,000. Actual compensation packages are based on several factors unique to each candidate, including skill set, depth of experience, certifications, and specific work location. The total compensation package may also include an annual performance bonus, stock, benefits, and other incentive plans. For more information, visit

Equal Opportunity Statement:
Linked In is an equal opportunity employer and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. Linked In is committed to an inclusive and accessible experience for all job seekers, including individuals with disabilities.

Reasonable accommodations are available to applicants who need them. If you require an accommodation to apply or interview, please contact us and describe the accommodation requested.