Principal Staff Software Engineer, Capacity Infrastructure

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 LinkedIns 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 teams overall capabilities. They will also embody and promote LinkedIns Core Values - transformation collaboration and results - nurturing a culture that reflects these principles.

In this role youll 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 youll 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 LinkedIns 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 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.

Qualifications :

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 $209000 - $343000. 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: Information :

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.

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• Documents in alternate formats or read aloud to you
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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 LinkedIns legal duty to furnish information.

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Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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No

Employment Type :

Full-time