Sr. Software Engineer, Capacity Engineering

• Full-time
• Workplace Type:
  Hybrid

Linked In 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.

At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.

The Capacity & Efficiency Engineering team drives Linked In’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 Linked In’s infrastructure sustainably.

We are seeking a Sr. Staff Software Engineer to join Linked In'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 senior 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:

• Define and drive the architecture for Linked In’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.

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…