Company Description
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.
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 experienced 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 $156,000 to $255,000. 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
LinkedIn is committed to diversity in its workforce and is 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. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
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.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
