Staff Software Engineer - Compute Infrastructure

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.

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

Basic Qualifications

• 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

Preferred Qualifications

• 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

Suggested Skills

• Distributed Systems
• Golang
• Technical Leadership

You will Benefit from our Culture

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.

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn 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.

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Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

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