Software Engineer - Systems and Infrastructure

Staff Software Engineer - Systems and Infrastructure

• Full-time
• Workplace Type:
  Hybrid

Linked In 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.

As part of our world‑class software engineering team, you will help build the next‑generation infrastructure and platforms that power Linked In’s products, business, and AI‑first future. This includes data infrastructure, storage systems, streaming platforms, traffic and network infrastructure, and other foundational platforms that enable reliable, scalable, and AI‑first product experiences.

Our infrastructure enables teams across Linked In to build, deploy, and operate AI‑first products  will work on foundational systems that make it possible to process massive volumes of data, serve low‑latency online experiences, power personalized and AI‑first user experiences, and ensure reliability, security, privacy, and compliance across the full technology stack.

We are building next‑generation data infrastructure, including storage, streams, and analytics platforms. You will help scale Linked In’s infrastructure to handle massive data growth across the Linked In ecosystem as we continue to grow our membership, products, and AI‑first experiences. Bring your experience in distributed systems and algorithms, along with a strong systems orientation across concurrency, scalability, performance, caching, queuing, and distributed data storage.

You should be excited to work on cutting‑edge infrastructure systems that make a real impact at company scale.

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.

• 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, Apache Airflow, Apache Flink).
• 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 industry, open source, and/or academic…