Sr. Staff Software Engineer on LinkedIn's Capacity & Efficiency Engineering team, architecting the platforms, datasets, and models behind infrastructure capacity planning, demand forecasting, cost attribution, and efficiency. Hands-on technical leadership using OO languages (C++/Java/Go/Python/Scala) and data infrastructure like Kafka, Flink, and Airflow.
Compensation
$198K–$326K / yr
Location
Mountain View, CA, us
Work setup
Hybrid
Seniority
Staff
Employment
Contract
Experience
2+ years
Category
Software engineering
Posted
Skills
airflow
aws
azure
cloud
cpp
data-quality
distributed-systems
etl
flink
gcp
hadoop
java
kafka
oop
python
rust
s3
scala
Must have
BS/BA in Computer Science or related technical field or equivalent technical experience
5+ years of industry experience in software design, development, and algorithm related solutions
5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala
2+ years of experience as an architect, or technical leadership position
Professional experience in capacity planning, infrastructure efficiency, or infrastructure cost and allocation systems at scale
Nice to have
MS or PhD degree in Computer Science or related technical discipline
10+ years of experience in software design, development, and algorithm related solutions with at least 5 years in a technical leadership position
10+ years of experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python, Scala
5+ years of experience with large-scale distributed systems and client-server architectures
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 frameworks and distributed storage (HDFS, S3/EBS, Object Storage, Couchbase, or similar)
Experience leading and influencing within a large, matrixed organization
Full description
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 LinkedIn’s 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 LinkedIn’s infrastructure sustainably.
We are seeking a Sr. Staff Software Engineer to join LinkedIn's 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 senior technical leader, you'll set a high bar for technical excellence, mentor engineers, and partner closely with cross-functional stakeholders to lead forward-thinking solutions
Responsibilities:
Define and drive the architecture for LinkedIn’s capacity planning and efficiency platforms, shaping 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 senior and staff engineers, and raise engineering standards beyond your immediate scope.
Basic Qualifications:
BS/BA in Computer Science or related technical field or equivalent technical experience
5+ years of industry experience in software design, development, and algorithm related solutions
5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala
2+ years of experience as an architect, or technical leadership position
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
10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position
10+ years of experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python, Scala
5+ years of experience with large-scale distributed systems and client-server architectures
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:
Technical Leadership
Cloud
On Premise
Capacity Engineering
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 $198,000 - $326,000. 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.
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