Sr. Software Engineer, Systems Infrastructure

Responsibilities

• The ideal candidate will help scale LinkedIn's infrastructure to handle massive growth in membership, traffic, and data as we continue to experience dramatic growth in the usage of our products with focus in one or more of the areas below:
• Data Infrastructure: A focus on building and supporting large scale systems and tools that enable the generation of insights and data products on all of LinkedIn's internal and external data via self-serve computing, reporting solutions, and interactive querying.
• Service: Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment.
• Content and Community: Deliver the systems and algorithms that generate and serve feeds of professionally relevant activities and content.

Requirements

• BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
• 2+ years of industry experience in software design, development, and algorithm related solutions.
• 2+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# or functional languages such as Scala or other relevant coding languages
• Hands on experience developing distributed systems, large-scale systems, databases or Backend APIs
• BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience
• Experience in architecting, building, and running large-scale distributed systems
• Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice
• Experience with open-source project management and governance
• Suggested Skills:
• Data Structures & Algorithms
• Distributed Systems
• Operating Systems
• Cloud Computing
• You will Benefit from our Culture:
• We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
• LinkedIn is committed to fair and equitable compensation practices.
• 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 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.
• 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 and describe the specific Accommodation requested f

Benefits

Additional Information

This role will be available in Bellevue, Washington. 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. We're building the next-generation data infrastructure, including storage, streams, media and analytics platforms. Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. Bring your experience in distributed systems and algorithms and a strong systems orientation (multi-threading, concurrency, scalability, performance). You should understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting edge open-source systems.

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