Software Engineering Manager, Service Infrastructure

Responsibilities

• Lead, coach and manage core team of engineers working on building the infrastructure.
• Participate with senior management in developing a long-term technology roadmap for the team and company.
• Have the ability to dive deep into technical discussions to challenge the status quo, and steer the team in the right direction/to push the envelope.
• Communicate and collaborate effectively with stakeholders across engineering and business leadership.
• Help the team realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges to stretch their skills.
• Drive a culture of operational excellence. Lead the team into defining performance goals, metrics and building the infrastructure and tooling necessary to maintain a high quality bar and detect issues in real time.
• Create an inclusive work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for quality.

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
• Experience programming in object-oriented languages such as Java, C++, Python, Go or Rust.
• Hands on experience developing distributed systems, databases, large scale data systems and/or Backend API's
• 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, or Rust.
• 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
• 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 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.
• Equal Opportunity Statement
• 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 acco

Benefits

Additional Information

This role will be based in Mountain View. 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. We're looking for an Engineering Manager to lead two high-impact infrastructure teams shaping the future of service connectivity at LinkedIn. This role spans LinkedIn's next-generation service discovery and control plane initiatives alongside LinkedIn's standard framework for service discovery and client-side load balancing, which dynamically routes traffic across microservices and steers requests away from unhealthy hosts based on request metrics. You'll lead teams working on foundational service infrastructure across service mesh, discovery, load balancing, dark clusters, and core reliability primitives - driving platforms that sit on the critical path of availability, resilience, and safe service evolution across LinkedIn's distributed systems.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Linkedin3? Share your experience