Staff Software Engineer, Capacity Engineering

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.

The Capacity & Efficiency Engineering team drives LinkedIn’s end-to-end infrastructure capacity planning and efficiency strategy. We build the data, models, and planning systems that connect infrastructure demand to business growth, attribute costs to the products that drive them, and forecast resource needs across dozens of infrastructure platforms. Our systems are foundational to how Product, Finance, and Infrastructure leadership make decisions on infrastructure investment, capacity allocation, budget planning, and efficiency. By providing a consistent view of demand, supply, and cost, we enable leaders to make informed trade-offs, identify efficiency opportunities, and scale LinkedIn’s infrastructure sustainably.

We are seeking a Staff Software Engineer to join LinkedIn's Capacity & Efficiency Engineering team and play a critical role in building the foundational datasets, models, and tools that power infrastructure visibility, cost attribution, and planning. As a technical leader, you'll set a high bar for technical excellence, mentor engineers, and partner closely with cross-functional stakeholders to lead forward-thinking solutions.

Responsibilities: 

• Build and evolve the systems and tools that power LinkedIn’s capacity planning and efficiency platforms, improving 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 engineers, and raise engineering standards beyond your immediate scope.

Department: Engineering
Experience Level: Mid-Senior Level