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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.

Streaming SRE team is a combination development and operational role ensuring the reliability for centralized Pubsub systems at LinkedIn. There will be an expectation of participating in an oncall 1x per month.

Come join the Software Engineering SRE team responsible for maintaining one of the largest Streaming ecosystems on the planet including Kafka. The LinkedIn Streaming SRE team is responsible for maintaining LinkedIn’s Kafka, Samza, Flink and overall pubsub ecosystem which processes over 50 trillion messages per day across more than 150 clusters. The pubsub system is the de facto way of moving data at LinkedIn, powering everything from database replication to our metrics and log collection.As a member of the Streaming SRE team, you would be responsible for helping our pubsub systems, including Kafka and Stream-Processing technologies like Samza and Flink, to scale to meet LinkedIn’s needs. This would also include writing code to automate solutions to new and exciting problems and working closely with our customers across all of LinkedIn Engineering. Additionally, as an embedded SRE, you will work closely with LinkedIn’s pubsub development teams to ensure that the ecosystem of applications responsible for streaming data at LinkedIn continue to be reliable, operable, scalable, and maintainable.

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 Mountain View, 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

● Assist in the roll-out and ramp up of new product features and technologies 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. Function well in a fast-paced, rapidly-changing environment

● Strong interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a diverse, team-focused environment with Developers, SREs, Network Engineers, Product Managers, etc.

● Knowledge of most of these: data structures, relational and non-relational databases, networking, Linux internals, filesystems, web architecture, and related topics.

● 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 administration and troubleshooting of Unix/Linux systems

● Programming skills in one or more of Java, Rust, Go, Python, Ruby, C++

Preferred Qualifications:

● 5+ years in a UNIX-based large-scale web operations role.

● Experience with Java or C++ development

● Preferred languages: Python, Java, C++, Go

● Experience in building systems automation and server backends with Python

● Experience with Linux OS (Azure Linux, Redhat)

● Troubleshoot production systems at scale

Suggested Skills:

● Networking fundamentals

● Linux OS (Azure Linux, Redhat)

●Programming Proficiency

●Collaboration

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is [$121,000 to $198,000]. 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.

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