Staff Software Engineer, Systems Infrastructure

Company DescriptionLinkedIn 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 DescriptionThis role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, compute platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale.Responsibilities- You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.- You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.- You will improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance.- You will effectively communicate with the team, partners, and stakeholders.- You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team.- You will work closely with the open-source community to participate and influence cutting edge open-source projects (e.g., Apache Iceberg).- You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale.- You will diagnose technical problems, debug in production environments, and automate routine tasks.Basic Qualifications- BA/BS Degree in Computer Science or related technical discipline, or related practical experience.- 4+ years of industry experience in software design, development, and algorithm related solutions.- 4+ 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.Preferred Qualifications- BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience.- Experience in architecting, building, and running large-scale distributed systems.- Experience with industry, open-source, 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- Distributed systems- Backend Systems Infrastructure- Java/Golang/Rust/PythonYou will Benefit from our CultureWe 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.Equal Opportunity StatementLinkedIn is committed to diversity in its workforce and is 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.Pay Transparency Policy StatementAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions.

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