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.
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.
Responsibilities:
• We take an engineering-first approach to elevate infrastructure. As a Principal Engineer, you’ll be driving 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.
• 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.
Basic Qualifications:
• 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
Preferred Qualifications:
• 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.
Suggested Skills:
• Technical Leadership
• Technical strategy
• Physical Infrastructure
• Capacity Management/Planning
• Distributed Systems
You will Benefit from our Culture
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.
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
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