LinkedIn

Professional Network

Sr.SoftwareEngineer,SystemsInfrastructure

$139–229k Bellevue, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Sr. Software Engineer, Systems Infrastructure at LinkedIn. Skills: Systems Infrastructure, Data Infrastructure, Search, Networks and Analytics, Service Platform, Content and Community Systems. scale LinkedIn infrastructure to handle massive data growth. build and support large scale systems and tools for data insights and products”

What You'll Achieve.

create economic opportunity for every member of the global workforce; make powerful connections; discover exciting opportunities; build necessary skills; gain valuable insights; scale LinkedIn infrastructure to handle massive growth in membership, traffic, and data; provide and run in 24/7 production environment a platform that enables search quality engineers to rapidly innovate, experiment and improve relevance; remain constantly available and performant to our users

Industry & Context.

Professional Network
Problems you'll solve

systems orientation; scalability; performance

What They're Looking For.

Must Have

BAS 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# and/or Functional languages such as Scala or other relevant coding languages, Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs

Nice to Have

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

What You'll Do.

scale LinkedIn infrastructure to handle massive data growth

build and support large scale systems and tools for data insights and products

enable self-serve computing

and interactive querying

build and operate the platform that powers all of search at LinkedIn

provide and run a platform in a 24/7 production environment for search quality engineers

provide the technical platform for all of LinkedIn Engineering to build services

deliver systems and algorithms that generate and serve feeds of professionally relevant activities and content

Full Job 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. 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. What You’ll Do: 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,

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