Staff Software Engineer, Capacity Engineering

LinkedIn • Mountain View, CA

1d • Hybrid

About The Position

LinkedIn’s Capacity & Efficiency Engineering team drives end-to-end infrastructure capacity planning and efficiency strategy. It builds data, models, and planning systems that connect infrastructure demand to business growth, attribute costs to products, and forecast resource needs across infrastructure platforms. These systems support decisions about infrastructure investment, capacity allocation, budget planning, and efficiency.

The Staff Software Engineer will build foundational datasets, models, and tools for infrastructure visibility, cost attribution, and planning. As a technical leader, this person will set a high bar for engineering excellence, mentor engineers, and partner with cross-functional stakeholders to deliver forward-thinking solutions. The role is hybrid, performed from home and a LinkedIn office on select days as determined by team business needs.

Requirements

• BS/BA in Computer Science or a related technical field, or equivalent technical experience.
• At least 4 years of industry experience in software design, development, and algorithm-related solutions.
• At least 4 years of programming experience in an object-oriented language such as C/C++, Java, Go, Rust, Python, or Scala.
• Professional experience in capacity planning, infrastructure efficiency, or infrastructure cost and allocation systems at scale.

Nice To Haves

• MS or PhD in Computer Science or a related technical discipline.
• At least 8 years of experience in software design, development, and algorithm-related solutions, including at least 5 years in a technical leadership position.
• At least 8 years of experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python, or Scala.
• At least 4 years of experience with large-scale distributed systems and client-server architectures.
• At least 1 year of experience as an architect or in a technical leadership position.
• Deep understanding of large-scale infrastructure, including public cloud (AWS/Azure/GCP) and/or private/on-premises 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 data infrastructure technology stacks, including Kafka/PubSub systems, Flink, Airflow, ETL frameworks, and distributed storage such as HDFS, S3/EBS, Object Storage, or Couchbase.
• Experience leading and influencing within a large, matrixed organization.

Responsibilities

• Build and evolve systems and tools for capacity planning and efficiency, improving demand forecasting, resource allocation, and infrastructure investment optimization at scale.
• Make efficiency a first-class engineering outcome by building datasets, signals, and planning tools that surface fleet-wide right-sizing, reclamation, and optimization opportunities and translate them into measurable infrastructure savings.
• Set high standards for data quality, correctness, and reliability across data and models used for critical capacity and financial decisions.
• Stay hands-on with complex engineering challenges, personally drive critical implementations, and set technical standards through code and architecture.
• Influence technical strategy across organizational boundaries, mentor engineers, and raise engineering standards beyond the immediate team.

Benefits

• Generous health and wellness programs.
• Time away for employees of all levels.
• The total compensation package may include an annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior