Sr. Staff Software Engineer, Capacity Engineering

LinkedIn • Mountain View, CA

1d • Hybrid

About The Position

The Sr. Staff Software Engineer will join LinkedIn’s Capacity & Efficiency Engineering team, which drives end-to-end infrastructure capacity planning and efficiency strategy. The team builds datasets, 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 by Product, Finance, and Infrastructure leadership on investment, capacity allocation, budget planning, and efficiency.

In this senior technical leadership role, you will help build foundational datasets, models, and tools for infrastructure visibility, cost attribution, and planning. You will establish a high bar for technical excellence, mentor engineers, and partner with cross-functional stakeholders to deliver forward-thinking solutions. The position is hybrid, with work performed both from home and from a LinkedIn office on select days, as determined by business needs.

Requirements

• BS/BA in Computer Science or a related technical field, or equivalent technical experience.
• At least 5 years of industry experience in software design, development, and algorithm-related solutions.
• At least 5 years of experience programming in an object-oriented language such as C/C++, Java, Go, Rust, Python, or Scala.
• At least 2 years of experience as an architect or in a technical leadership position.
• 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 10 years of experience in software design, development, and algorithm-related solutions, including at least 5 years in a technical leadership position.
• At least 10 years of experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python, or Scala.
• At least 5 years of experience with large-scale distributed systems and client-server architectures.
• Deep understanding of large-scale infrastructure, including public cloud (AWS, Azure, or GCP) and/or private or on-premises fleets, and their resource and cost models.
• Experience leading annual and quarterly planning cycles involving Finance, Product, and Infrastructure leadership.
• Experience with data infrastructure 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

• Define and drive the architecture for capacity planning and efficiency platforms, shaping demand forecasting, resource allocation, and infrastructure investment optimization at scale.
• Build datasets, signals, and planning tools that identify right-sizing, reclamation, and optimization opportunities across the infrastructure fleet, and turn them into measurable savings.
• Set high standards for data quality, correctness, and reliability across data and models used for 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 senior and staff 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