Software Engineer - Systems and Infrastructure

LinkedIn•Mountain View, CA

5h•$120,000 - $195,000•Hybrid

About The Position

As part of our world-class software engineering team, you will help build the next-generation infrastructure and platforms that power LinkedIn’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 LinkedIn to build, deploy, and operate AI-first products at scale. You 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, media, and analytics platforms. You will help scale LinkedIn’s infrastructure to handle massive data growth across the LinkedIn 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.

Requirements

BA/BS Degree in Computer Science or related technical discipline, or related practical experience
1+ years of industry experience in software design, development, and algorithm related solutions
Experience programming in Object-oriented languages such as Java, C++, Python, Go, C#, Rust and/or Functional languages such as Scala

Nice To Haves

2+ years of relevant work experience - MS or PhD in Computer Science or related technical discipline
Experience designing building and triaging complex, large scale distributed systems
Experience with industry, opensource, and/or academic research in technologies such as GCP, S3, Azure, Iceberg, Spark, Flink, Trino, Airflow, Kubernetes, GraphQL, GRPC, Kafka, Pinot, ClickHouse, or Cassandra.

Responsibilities

Design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
Participate in design and code reviews to maintain our high development Standards.
Partner with peers, leads and partners to define, scope, prioritize, and build impactful features at a high velocity.