Software Engineering Manager, Service Infrastructure

LinkedIn; California (MO); Hybrid; USD 210,000 - 268,000; Full time

Job summary

LinkedIn in Mountain View, California, is seeking an Engineering Manager to lead two high-impact infrastructure teams shaping the future of service connectivity. You will oversee service discovery, control plane initiatives, and core reliability primitives across distributed systems, driving platforms critical to availability and resilience.

You will mentor engineers, set roadmaps with senior leadership, dive into complex technical discussions, and foster an inclusive culture with a strong focus

Qualifications

• 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

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.

Skills

Distributed systems

Backend Systems Infrastructure

Java/Golang/Rust/Python

Education

Bachelor's degree in Computer Science or related technical discipline

MS or PhD in Computer Science or related technical discipline

Tools

Hadoop

Spark

Kubernetes

GraphQL

GRPC

Apache Kafka

Pinot

Samza

Venice

Job description

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

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.

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.

Basic Qualifications

• 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

Preferred Qualifications

• 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 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.

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.

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.

Reasonable Accommodations

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Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non‑disability related requests, such as following up on an application, will not receive a response.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non‑discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice and Compliance Posters for Job Candidates

Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E‑Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.