Manager, Software Engineering, Compute Infrastructure

LinkedIn•Mountain View, CA

13h•Hybrid

About The Position

We are the Host Health and Remediation team within Compute Infrastructure, focused on advancing the reliability and operability of LinkedIn’s compute infrastructure. Our mission is to provide a unified, reliable, and transparent host health signal and to remediate unhealthy hosts across LinkedIn’s entire server fleet. The team offers the opportunity to tackle large-scale, technically challenging problems, work on cutting-edge infrastructure systems, and directly contribute to LinkedIn’s fleet reliability through automation, observability, and data-driven insights. The impact of this work is felt across the entire company. This role will be based in Mountain View, Bellevue, or San Francisco. 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. Join LinkedIn’s Host Health and Remediation team to shape the next generation of our compute infrastructure! In this role, you’ll lead efforts on large-scale systems, automating host health monitoring and remediation to boost reliability and minimize downtime across the entire server fleet. This high-visibility, company-wide initiative offers the opportunity to design scalable solutions, influence key infrastructure decisions, and collaborate across multiple teams. This manager will play a pivotal role in ensuring the reliability, observability, and operability of LinkedIn’s entire server fleet. By leading the Host Health and Remediation team, this role directly impacts the availability and performance of LinkedIn’s compute infrastructure, enabling all services and products across the company to operate reliably at scale. The position combines technical leadership, strategic planning, and team development, making it critical for advancing LinkedIn’s long-term infrastructure goals If you have experience managing teams that build large-scale compute infrastructure systems and want to make a lasting impact on LinkedIn’s future, we’d love to connect!

Requirements

BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.
1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training
5+ years of industry experience in software design, development, and large-scale software engineering
Strong understanding of large-scale systems, reliability engineering, monitoring, and automation.
Proven experience managing engineering teams in distributed systems or compute infrastructure.
Experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages.

Nice To Haves

MS or PhD in Computer Science or related technical discipline
2+ years of hands-on software engineering/technical management and people management experience
7+ years industry experience in software design, development, and algorithm related solutions.
5+ years programming experience in languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages.
Experience in architecting, building, and running large-scale distributed systems
Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice
Experience with open-source project management and governance
Suggested Skills Distributed systems Backend Systems Infrastructure Java/Golang/Rust/Python

Responsibilities

Talent Management: Recruit, coach, mentor, and grow high-performing engineers; foster a culture of accountability, innovation, and continuous learning.
Technical Leadership: Guide architectural decisions, review designs, and ensure scalable, reliable infrastructure solutions.
Strategic Planning: Define and drive the technical roadmap for host health monitoring and remediation; prioritize initiatives with maximum business impact.
Cross-Team Collaboration: Partner with other infrastructure, operations, and platform teams to define best practices, share insights, and influence company-wide reliability improvements.
Operational Excellence: Ensure systems are observable, automated, and proactively maintained to minimize downtime and maximize fleet health.

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 $200,000 - $268,000
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.
For more information, visit https://careers.linkedin.com/benefits.
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.
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.
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.