Sr. Staff Software Engineer, Systems Infrastructure

LinkedIn · Mountain View · $198,000–$326,000 (stated in the posting)

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Company Description

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.

Job Description

This role will be based in Mountain View, CA.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.


The Streams Infrastructure team at LinkedIn builds and operates highly scalable and available pub-sub, stream processing and data pipeline services for all of LinkedIn’s data platforms and applications. Kafka, Samza and Brooklin all originated at LinkedIn and form the backbone of the streaming infrastructure. More than 20+ trillion messages/day are ingested into the Kafka clusters from tracking site engagement to metrics and logging, while over 4+ trillion messages/day are processed by Samza for real-time data analytics that powers member notifications, threat screening, ads infrastructure etc. Data pipelines which include Brooklin moves over 6+ trillion messages/day and powers tens of thousands of data streams including Kafka mirroring.

- You will build and ship software, drive architectural decisions and implementation across the Stream Processing infrastructure at Linkedin (Apache Kafka, Northguard, Apache Flink, and other new initiatives) 

- You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.

- You will lead cross team/cross functional discussions and drive alignment on product/technology strategy.

- You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.

- You will act as one of the primary domain experts to influence technology choices.

- You will lead by example to build a culture of craftsmanship and innovation.

- You will act as someone who uses AI to solve problems, improves productivity and uplifts the team to do so.

Qualifications

Basic Qualifications:

Preferred Qualifications:

Suggested Skills:

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $198,000 to $326,000. 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.

Additional Information

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are 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 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.

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:

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.

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.

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.

Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

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