LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.
Join us to transform the way the world works.
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.
This role is based in our Sunnyvale, CA office location.
LinkedIn is looking to hire Staff Site Reliability Engineer within the production Storage Engineering group. The Storage Engineering group is defining the strategy for LinkedIn's storage infrastructure and is responsible for architecture, design, tooling and automation related to that.
The candidate will have wide latitude in making contributions in several areas. In this highly visible role, you will work within the various members of the engineering teams providing guidance in technologies, product feature definitions, implementation and tradeoffs and architecture definition.
Responsibilities:
· Candidate will be responsible in designing and developing strategy for storage system design and consumption.
· Additional responsibilities include influencing open source community in white-box storage developments and software defined storage.
· Utilize communication skills in interacting with peer groups & drive technical presentations.
· Maintain technical knowledge of storage platform industry directions and trends.
· Project lead initial storage implementations, and proof-of-concepts and pilots.
· Maintain relationships with user groups, staying apprised of future projects, project growth, schedule activities, and being a trusted point of contact.
· Adapt to the ever-evolving industry; learn and scrutinize new technologies, and envision its possible application towards the Linkedin mission.
· Participate in a 12x7 rotation for second-tier escalations.
Basic Qualifications:
· BA/BS Degree in Computer Science, Electrical Engineering, or related technical discipline, or related practical experience.
· 4+ years of experience with GPFS, GlusterFS or any Software-defined storage solutions
· 4+ years of experience in large enterprise-class storage build and support
Preferred Qualifications
· 4+ years of experience with any scripting language such as Python, Go. Rust, etc.
· 4+ years of experience in distributed/clustered storage designs
· 4+ years of experience with multiple storage protocols
· 4+ years of experience in deploying, analyzing and debugging storage networks
· 4+ years of experience in application specific storage sub-system selection, design and configuration (drives, controllers, interconnects)
· 4+ years of experience in configuring, tuning operating systems for use with storage including performance analysis
· Excellent working knowledge of the Linux storage stack, both block and file-system (e.g. LVM, VxVM, VxFS, ZFS, XFS, Lustre, GPFS, Gluster, Ceph, Swift, NFS)
· Hands on experience with kernel debuggers, performance counters and protocol analyzers
· Excellent working knowledge of FC, FCoE, SCSI, iSCSI, iSER, PCIe, NVMe, RDMA, NFS and other storage protocols and interfaces
· Excellent working knowledge of erasure coding, hardware and software RAID technologies, and data reduction methods
· Deep exposure to SSD, HDD, RAID, and SAS drive and controller design
· Working knowledge of congestion control mechanisms for high-speed storage networks
· Industry knowledge about SDN technologies is desirable
· Working knowledge of optical networking technologies, components and storage encapsulating protocols (e.g. DWDM, CWDM, MMF, SMF, SR, LR, ZR, SONET, MPLS)
· Software engineering skills with efficient, maintainable and testable C/C++/Python
· Experience deploying storage for shared-nothing applications
· Experience leading cross functional teams engaged in storage system design and deployment
· Experience mentoring junior and mid-level engineers
· Experience creating and presenting storage industry related education
Suggested Skills:
· Storage Systems such as GPFS(IBM Spectrum Scale), Netapp, Isilon, Gluster, CEPH, etc
· Scripting
· Configuration Management
· Networking
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $147,000-240,000. 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.
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As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
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This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
