Sr. Staff Software Engineer, Capacity Engineering
About The Position
LinkedIn is seeking a Sr. Staff Software Engineer for its Capacity & Efficiency Engineering team. The team develops LinkedIn’s end-to-end infrastructure capacity planning and efficiency strategy, including the 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 inform Product, Finance, and Infrastructure leadership decisions about investment, capacity allocation, budgets, and efficiency. In this senior technical leadership role, you will build foundational datasets, models, and tools for infrastructure visibility, cost attribution, and planning. You will set technical standards, mentor engineers, and work with cross-functional stakeholders to develop solutions. The position is hybrid, performed both from home and from a LinkedIn office on select days as determined by team business needs.
Requirements
- Bachelor’s degree 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 programming experience in object-oriented languages 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
- Master’s or PhD degree in Computer Science or a related technical discipline.
- At least 10 years of software design, development, and algorithm-related experience, 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 public cloud (AWS, Azure, or GCP) and/or private or on-premises infrastructure and its resource and cost models.
- Experience leading annual and quarterly planning cycles involving Finance, Product, and Infrastructure leadership.
- Experience with data infrastructure technologies, 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.
- Technical leadership, cloud, on-premises infrastructure, capacity engineering, and distributed systems skills.
Responsibilities
- Define and drive the architecture for capacity planning and efficiency platforms, including systems for demand forecasting, resource allocation, and infrastructure investment optimization.
- Build datasets, signals, and planning tools to identify right-sizing, reclamation, and optimization opportunities and translate them into measurable infrastructure savings.
- Set high standards for the quality, correctness, and reliability of data and models used in capacity and financial decisions.
- Personally drive critical implementations and tackle complex engineering challenges through hands-on coding and architecture work.
- 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.
- Annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans may be included in the total compensation package.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
