Sr. Staff Software Engineer, Systems Infrastructure

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:

• BS/BA in Computer Science or related technical field or equivalent technical experience
• 5+ years of industry experience in software design, development, and algorithm related solutions
• 5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala
• 2+ years of experience as an architect, or technical leadership position
• Hands-on experience developing large-scale, distributed systems, and databases

Preferred Qualifications:

• MS or PhD degree in Computer Science or related technical discipline
• 10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position
• 10+ years of experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python, Scala
• 5+ years of experience with large-scale distributed systems and client-server architectures
• Experience in architecting and designing large-scale distributed systems related to data infrastructure, IaaS, ML/AI infrastructure, storage, graph, Kubernetes, and platforms.

Suggested Skills:

• Distributed Systems
• Technical Leadership
• Infrastructure as a Service (IaaS)
• Systems Infrastructure

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.

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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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