Staff Software Engineer - Compute Infrastructure

LinkedIn•Mountain View, CA

32d•$170,000 - $277,000•Hybrid

About The Position

This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Job Description As a staff member of the Compute Infrastructure 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 capability to efficiently create Kubernetes clusters on-demand, build multi-clusters solutions, automate upgrades, and intelligently detect and remediate cluster health, etc. In this role, you will be responsible for designing and implementing solutions that will 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 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.

Requirements

BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
4+ years of industry experience in software design, development, and algorithm related solutions.
4+ 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

Nice To Haves

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
Experience in architecting, building, and running large-scale distributed systems
Experience with Kubernetes (or similar) Ecosystem
Experience with Kubernetes controller development, automating cluster management
Golang coding experience
Experience with industry, open source, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice
Experience with open-source project management and governance

Responsibilities

You will 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.
You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance
You will communicate with the team, partners and stakeholders.
You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team
You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale
You will diagnose technical problems, debug in production environments, and automate routine tasks

Benefits

We 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 $170,000 to $277,000.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.
This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.
For more information, visit https://careers.linkedin.com/benefits.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume