Senior Staff Software Engineer
Senior Staff Software Engineer
Runs a social network for careers and hiring
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.
With tremendous scale comes unique scale and operability challenges. Because we host one of the largest scale streaming systems in the industry, we work on these challenges to ensure no data loss, multi-tenancy with strong failure isolation, and balanced work distribution / coordination, all while maintaining low latency delivery of events.
As a Sr. Staff Software Engineer, you will be a key technical leader and role model within the organization. We are looking for a technical lead who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes trade offs to help achieve the goals of individual teams as well as LinkedIn's broader goals. You will foster LinkedIn's culture and values around transformation, collaboration and results. You will work closely with technical leadership and management within and outside our organization to contribute to building best-in-class core systems infrastructure for LinkedIn.
Responsibilities:
- 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.
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.
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.
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LinkedIn runs a social network for working life, where people keep an online record of their careers and look for jobs, and where employers recruit, advertise, and sell to professionals. It became the world's largest professional network, and in 2016 Microsoft bought it in what was then Microsoft's biggest acquisition. Members fill profiles with their work history and skills, post in a news feed, and apply for openings, while recruiters search those profiles and message candidates through LinkedIn Recruiter. LinkedIn charges employers for these hiring tools and for ads aimed by job title or industry, and members pay for Premium subscriptions. Reid Hoffman co-founded LinkedIn in 2002, and it is based in Sunnyvale, California.
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