Staff Software Engineer, Capacity Engineering

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 team drives LinkedIns end-to-end infrastructure capacity planning and efficiency strategy. We build the data models and planning systems that connect infrastructure demand to business growth attribute costs to the products that drive them and forecast resource needs across dozens of infrastructure platforms. Our systems are foundational to how Product Finance and Infrastructure leadership make decisions on infrastructure investment capacity allocation budget planning and efficiency. By providing a consistent view of demand supply and cost we enable leaders to make informed trade-offs identify efficiency opportunities and scale LinkedIns infrastructure sustainably.

We are seeking a Staff Software Engineer to join LinkedIns Capacity & Efficiency Engineering team and play a critical role in building the foundational datasets models and tools that power infrastructure visibility cost attribution and planning. As a technical leader youll set a high bar for technical excellence mentor engineers and partner closely with cross-functional stakeholders to lead forward-thinking solutions.

Responsibilities: 

• Build and evolve the systems and tools that power LinkedIns capacity planning and efficiency platforms improving how we forecast demand allocate resources and optimize infrastructure investment at scale.
• Make efficiency a first-class engineering outcome build datasets signals and planning tools that surface right-sizing reclamation and optimization opportunities across the fleet and translate them into measurable infrastructure savings.
• Set high standards for data quality correctness and reliability across the data and models underpinning critical capacity and financial decisions.
• Stay hands-on in the most complex engineering challenges personally drive critical implementations and set the technical bar through code and architecture.
• Influence technical strategy across organizational boundaries mentor engineers and raise engineering standards beyond your immediate scope.

Qualifications :

Basic Qualifications: 

• BS/BA in Computer Science or related technical field or equivalent technical experience
• 4 years of industry experience in software design development and algorithm related solutions
• 4 years of experience programming in object-oriented languages such as C/C Java Go Rust Python Scala
• Professional experience in capacity planning infrastructure efficiency or infrastructure cost and allocation systems at scale.

Preferred Qualifications: 

• MS or PhD degree in Computer Science or related technical discipline
• 8 years of experience in software design development and algorithm related solutions with at least 5 years of experience in a technical leadership position
• 8 years of experience in an object-oriented programming language such as C/C Java Go Rust Python Scala
• 4 years of experience with large-scale distributed systems and client-server architectures
• 1 years of experience as an architect or technical leadership position
• Deep understanding of large-scale infrastructure public cloud (AWS/Azure/GCP) and/or private/on-prem fleets and the resource and cost models that govern them.
• Experience leading annual and quarterly planning cycles involving Finance Product and Infrastructure leadership.
• 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 leading and influencing within large matrixed organization

Suggested Skills: 

• Software Engineering
• Cloud
• On Premise
• Capacity Engineering
• Distributed Systems

Additional Information :

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 $170000 - $277000. 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: 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.

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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