LinkedIn is hiring a Staff Software Engineer for its Compute Infrastructure team. You will be responsible for building the next-generation infrastructure and platforms, with a specific focus on our on-premises Kubernetes platform. Your work will scale LinkedIn's Compute Infrastructure to meet the demands of our rapidly growing user base.
What You'll Do
- Own the technical strategy for broad or complex requirements with forward-looking approaches that go beyond your direct team.
- Design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
- Improve the observability and understandability of systems to boost developer productivity.
- Communicate effectively with your team, partners, and stakeholders.
- Mentor other engineers, help define our technical culture, and contribute to building 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.
What We're Looking For
- BA/BS Degree in Computer Science or a related technical discipline, or equivalent practical experience.
- 4+ years of industry experience in software design, development, and algorithm-related solutions.
- 4+ years experience programming in object-oriented languages like Java, C++, Python, Go, Rust, C# and/or functional languages like Scala.
- Hands-on experience developing distributed systems, large-scale systems, databases, and/or Backend APIs.
Nice to Have
- BS and 8+ years, MS and 7+ years, or PhD and 4+ years of relevant work experience.
- Experience in architecting, building, and running large-scale distributed systems.
- Experience with the Kubernetes ecosystem.
- Experience with Kubernetes controller development and automating cluster management.
- Golang coding experience.
- Experience with technologies like Hadoop, Spark, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza, or Venice.
- Experience with open-source project management and governance.
Technical Stack
- Kubernetes, Golang, Distributed Systems
- Hadoop, Spark, Feather
- GraphQL, GRPC, Apache Kafka
- Pinot, Samza, Venice
Team & Environment
You will be a member of the Compute Infrastructure team, specifically the LinkedIn Kubernetes Infrastructure team.
Benefits & Compensation
- Compensation range: $170,000 to $277,000
- Generous health and wellness programs
- Time away for employees of all levels
- Annual performance bonus
- Stock and other applicable incentive compensation plans
Work Mode
This is a hybrid position based in Mountain View, CA, San Francisco, CA, or Bellevue, WA.
LinkedIn is an equal opportunity employer committed to providing a workplace built on trust, care, inclusion, and fun. We consider 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.
