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 have
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 Ca
Full description
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.
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.
Responsibilities
You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
You will participate in design and code reviews to maintain our high development Standards.
You will partner with peers, leads and partners to define, scope, prioritize, and build impactful features at a high velocity.
Basic Qualifications
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
Preferred Qualifications
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.
Suggested Skills
Distributed systems
Backend Systems Infrastructure
Java/Golang/Rust/Python
You will Benefit from our Culture
We 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. LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $120,000 - $195,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are 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.
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