Job 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 will be based in Mountain View, CA.
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.
Do you want to build, scale, and evolve the next generation remote managed disk solution for LinkedIn? It is a core building block of the entire LinkedIn stack and will replace local disks for the vast majority of use cases. As a foundational storage solution, it will seamlessly scale to 100 PBs and serve 10s of millions of QPS at ultra low latencies. We aspire for lights out operations, needing no human touch as the site scales to 10s of thousands of servers and beyond. We are a small team working on realizing a big vision. If you are looking for an opportunity to make a big impact, come join us in the Infrastructure Software Engineering group.
Responsibilities:
- You will act as a domain expert for Storage Infrastructure at LinkedIn and own architectural decisions
- You will partner with customers and leaders to create roadmaps, drive alignments and deliver products
- You will lead and mentor teams, while actively building and operating large scale systems
- You will define, enforce and continuously raise the bar for craftsmanship at LinkedIn, bringing in best practices from the industry
- You will build a culture of innovation, with bias for execution
Basic Qualifications:
- BA/BS Degree or higher in Computer Science or related technical discipline, or equivalent practical experience
- 5+ years of industry experience in software design, development, and algorithm related solutions.
- 5+ years of experience programming in C/C++, Rust, Go, or similar languages
- Hands on experience developing large-scale distributed systems, database, remote disk, and storage
- 2+ years of experience as an architect or technical leadership position
Preferred Qualifications:
- MS or PhD in Computer Science or related technical discipline
- 10+ years experience in software design, development, and algorithm related solutions
- 5+ years of experience in a technical leadership position
- 10+ years experience in an object-oriented programming language such as C/C++, Rust, Go
- Knowledge of multi-threading, concurrency, and parallel processing technologies.
- Experience with industry, open-source projects and/or academic research in large-data, parallel and distributed systems
- Experience leading high-impact, cross-organization initiative
Suggested Skills:
- Distributed Systems
- Technical Leadership
- Storage systems
- Remote Storage
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $180,000 to $300,000. 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
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: Please reference and for more information.
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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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