Principal Staff Software Engineer, Capacity Infrastructure

LinkedIn•Mountain View, CA

1d•$209,000 - $343,000•Hybrid

About The Position

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. In this role, you'll collaborate closely with cross-functional partners, finance, bizops, product and capacity planning and customer stakeholders to strategize, design, and lead forward-thinking solutions. A hands-on approach to complex problem-solving, coupled with strong leadership and a commitment to delivering high-quality outcomes, is critical to your success.

Requirements

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

Nice To Haves

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.

Responsibilities

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.
Scale: our data footprint continues to grow exponentially beyond 100s of thousands of servers, multiple exabytes of storage, 10s of trillions of events/messages - arrive at a cohesive strategy and best practices to continue to scale our footprint 10x.
Cloud-based ecosystems are rapidly evolving. In this role, you will be expected to 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 and help define our strategy and roadmap to set us up to be competitive and get ahead of the trends.
Provide architectural guidance and mentorship to elevate the engineering organization, actively enhancing craftsmanship at LinkedIn by establishing best practices and strategic approaches.
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.

Benefits

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $209,000 - $343,000.
Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location.
This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.
For additional information, visit: https://careers.linkedin.com/benefits.

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