Software Engineer - Compute Infrastructure

Staff Software Engineer - Compute Infrastructure

• Full-time
• Workplace Type:
  Hybrid

Linked In is the worlds 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.

This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA.

At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.

As a staff member of the Compute Infrastructure team at Linked In, you will be charged with building the next-generation infrastructure and platforms for Linked In. This is a unique opportunity to work on a high-profile, high-impact ongoing project that will touch every aspect of our engineering organization. Specifically, the Linked In Kubernetes Infrastructure team provides an on-premises Kubernetes platform for the entire company.

The team provides capability to efficiently create Kubernetes clusters on-demand, build multi-clusters solutions, automate upgrades, and intelligently detect and remediate cluster health, etc.

In this role, you will be responsible for designing and implementing solutions that will enable Linked In to scale its Compute Infrastructure to meet the demands of a rapidly growing user base. This will involve working closely with a team of engineers to develop and operate solutions that are robust, scalable, and efficient. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced, dynamic environment.

• 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 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 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.

• 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.

• 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 Kubernetes (or similar) Ecosystem.
• Experience with Kubernetes controller development, automating cluster management.
• Experience with industry, open source, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, Graph
  
  QL, GRPC, Apache Kafka, Pinot, Samza or Venice.
• Experience with open-source project management and governance.

• Distributed Systems
• Golang
• Technical Leadership