Software Engineer - Systems and Infrastructure

LinkedIn; California (MO); Hybrid; USD 120,000 - 195,000; Full time

Benefits offered by this job

Annual bonus

Stock options

Benefits

Job summary

LinkedIn is building the next generation of data and infrastructure platforms to power its AI-first experiences. Hybrid work model combines remote and on-site collaboration, with a focus on scalable distributed systems, security, and reliability across the stack.

Join a world-class software engineering team designing large-scale infrastructure, storage, streaming, and analytics platforms that enable high-velocity feature delivery while ensuring privacy and compliance for a global user base.

Qualifications

• BA/BS in CS or related technical discipline
• 1+ years of industry experience in software design, development, and algorithm-related solutions
• Experience programming in OO languages such as Java, C++, Python, Go, C#, Rust and/or functional languages such as Scala

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 high development standards
• Partner with peers, leads and partners to define, scope, prioritize, and build impactful features at a high velocity

Skills

Distributed systems

Backend development

Object-oriented programming

Education

BA/BS in CS or related

Tools

GCP

S3

Azure

Iceberg

Spark

Flink

Trino

Airflow

Kubernetes

GraphQL

GRPC

Kafka

Pinot

ClickHouse

Cassandra

Job description

LinkedIn 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 thats 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 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.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.
Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice and Compliance Posters for Job Candidates

Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.