LinkedIn-posted 14 days ago
$209,000 - $343,000/Yr
Full-time • Senior
Mountain View, CA
Administrative and Support Services

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. 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 organization is responsible for matching the supply of hardware and software resources at LinkedIn to current and anticipated demand for those resources. We deliver impact by ensuring that we have the capacity to meet the needs of traffic from our billion+ members. We do this while also optimizing the cost of these resources. We are seeking a Principal Staff Software Engineer to join LinkedIn's Capacity Infrastructure team to play a critical role in designing and implementing the foundational datasets and tools that power the visibility, cost attribution and planning of LinkedIn Infrastructure. As a Principal Engineer, they will mentor team members, uphold a high bar for technical excellence, and elevate the team's overall capabilities. They will also embody and promote LinkedIn's Core Values-transformation, collaboration, and results-nurturing a culture that reflects these principles.

  • Drive the strategy to reduce the total cost of ownership to run and operate our infrastructure.
  • Build platforms to augment end-to-end reliability and scalability of LinkedIn's platforms, services, and products and bring actionable operational insights to enable continuous improvement.
  • Arrive at a cohesive strategy and best practices to continue to scale our footprint 10x.
  • Stay up to date with the latest cloud trends, including Kubernetes, serverless technologies, containers, and best practices for managing and optimizing large-scale infrastructure performance.
  • Provide architectural guidance and mentorship to elevate the engineering organization.
  • Influence and lead architecture and design decisions with a strong focus on ensuring Effective Capacity Management and on Efficiencies.
  • Drive consensus across cross-functional teams within a matrixed organization, fostering alignment and building a cohesive and collaborative team culture.
  • BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience.
  • 10+ years of experience in software design/development.
  • 7+ years in a technical leadership role overseeing large, cross-functional teams.
  • 7+ years' experience in/with programming skills in languages such as Python, Go, Java, Rust, Scala, or C++.
  • Hands-on experience developing distributed systems or other large-scale systems.
  • MS Degree and/or PhD in Computer Science or related technical discipline, or equivalent practical experience.
  • 10+ years programming experience in an object-oriented programming language such as Java, C/C++, Python.
  • Infrastructure capacity planning and forecasting experience in the tech industry.
  • Knowledge of AI/ML and data analytics.
  • Experience with large-scale distributed systems and client-server architectures.
  • Experience with Data Infrastructure tech stacks: Kafka/PubSub systems, Flink, Airflow, ETL framework and distributed storage (HDFS, S3/EBS, Object Storage, Couchbase, or similar).
  • Experience architecting and launching complex AI and engineering projects.
  • Experience leading and influencing within large, matrixed organization.
  • Experience leading high-impact, cross-organization initiatives.
  • Generous health and wellness programs.
  • Time away for employees of all levels.
  • Annual performance bonus.
  • Stock options.
  • Benefits and/or other applicable incentive compensation plans.
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