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Sr. Staff Software Engineer, Capacity Engineering

LinkedIn
California, USA
Full-time
Senior · 10+ years experience
Hybrid
Discovered 2 days ago
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Full Job Posting

Responsibilities:

  • Define and drive the architecture for LinkedIn’s capacity planning and efficiency platforms, shaping how we forecast demand, allocate resources, and optimize infrastructure investment at scale.
  • Make efficiency a first-class engineering outcome – build datasets, signals, and planning tools that surface right-sizing, reclamation, and optimization opportunities across the fleet, and translate them into measurable infrastructure savings.
  • Set high standards for data quality, correctness, and reliability across the data and models underpinning critical capacity and financial decisions.
  • Stay hands-on in the most complex engineering challenges, personally drive critical implementations, and set the technical bar through code and architecture.
  • Influence technical strategy across organizational boundaries, mentor senior and staff engineers, and raise engineering standards beyond your immediate scope.

Basic Qualifications:

  • BS/BA in Computer Science or related technical field or equivalent technical experience
  • 5+ years of industry experience in software design, development, and algorithm related solutions
  • 5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala
  • 2+ years of experience as an architect, or technical leadership position
  • Professional experience in capacity planning, infrastructure efficiency, or infrastructure cost and allocation systems at scale.
  • MS or PhD degree in Computer Science or related technical discipline
  • 10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position
  • 10+ years of experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python, Scala
  • 5+ years of experience with large-scale distributed systems and client-server architectures
  • Deep understanding of large-scale infrastructure — public cloud (AWS/Azure/GCP) and/or private/on-prem fleets — and the resource and cost models that govern them.
  • Experience leading annual and quarterly planning cycles involving Finance, Product, and Infrastructure leadership.
  • Experience with large-scale distributed systems and client-server architectures
  • Experience with Data Infrastructure tech stacks: Kafka/PubSub systems, Flink, Airflow, ETL framework and distributed storage (HDFS, S3/EBS, Object Storage, Couchbase, or similar)
  • Experience leading and influencing within large, matrixed organization
  • Technical Leadership
  • Cloud
  • On Premise
  • Capacity Engineering
  • Distributed Systems

Preferred Qualifications:

  • MS or PhD degree in Computer Science or related technical discipline
  • 10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position
  • 10+ years of experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python, Scala
  • 5+ years of experience with large-scale distributed systems and client-server architectures
  • Deep understanding of large-scale infrastructure — public cloud (AWS/Azure/GCP) and/or private/on-prem fleets — and the resource and cost models that govern them.
  • Experience leading annual and quarterly planning cycles involving Finance, Product, and Infrastructure leadership.
  • Experience with large-scale distributed systems and client-server architectures
  • Experience with Data Infrastructure tech stacks: Kafka/PubSub systems, Flink, Airflow, ETL framework and distributed storage (HDFS, S3/EBS, Object Storage, Couchbase, or similar)
  • Experience leading and influencing within large, matrixed organization
  • Suggested Skills:
  • Technical Leadership
  • Cloud
  • On Premise
  • Capacity Engineering
  • Distributed Systems
  • 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 $198,000 - $326,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
  • The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional 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.
  • LinkedIn 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.

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