Software Engineering Manager, Service Infrastructure

LinkedIn•Mountain View, CA

3d•Hybrid

About The Position

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.

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

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, 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

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.