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.
About Traffic SRE
Traffic is responsible for delivering LinkedIn products and services to everyone on the Internet. Our team operates the edge of LinkedIn’s data centers with a massive infrastructure that serves over 1 Billion members and Millions requests per second. We develop and manage Layer 4 and Layer 7 network proxies, load balancers, service discovery, monitoring, CI/CD pipelines.
We’re looking for engineers who want to solve challenging problems at the pace of LinkedIn’s accelerating growth. It’s highly-visible work that impacts our site every day, and we try to do it in a way that makes our lives easier. Come join us in this mission supporting LinkedIn’s reach to every member of the global workforce.
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 will be based in Sunnyvale, CA
Responsibilities:
● Serve as a primary point responsible for the overall health, performance, and capacity of one or more of our Internet-facing services
● Gain deep knowledge of our complex applications.
● Develop and assist in the roll-out and deployment of new product features and installations to facilitate our rapid iteration and constant growth.
● Develop tools to improve our ability to rapidly deploy and effectively monitor custom applications in a large-scale linux environment.
● Work closely with partner teams to ensure that platforms are designed with "operability" in mind.
● Function well in a fast-paced, rapidly-changing environment.
● Participate in a 24x7 rotation for second-tier escalations.
Basic Qualifications:
● B.S. or higher in Computer Science or other technical discipline, or related practical experience.
● 2+ years experience with operating and troubleshooting Linux at scale.
● Programming skills (Go, C/C++, Python, Rust, Java)
Preferred Qualifications:
● 5+ years in a UNIX-based large-scale web operations role. Experience with Kubernetes, Azure, On-prem.
● Experience with reverse proxies / load balancers (ATS, HAProxy, IPVS, etc..), TCP/IP networking.
● Experience with C/C++ / Go / Python server development, performance, and troubleshooting.
● Strong interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a globally diverse, team-focused environment with other SREs, SWEs, Product Managers, etc.
● Knowledge of most of these: data structures, relational and non-relational databases, networking, Linux internals, filesystems, web architecture, and related topics
Suggested Skills:
1. Go, C/C++, Python, Rust, Java development and troubleshooting
2. Linux systems and TCP/IP network troubleshooting
3. High availability web services
4. Edge/Traffic networking
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is [$147,000 to $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.
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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.
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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