Sr. Manager, Software Engineering, Compute Infrastructure
Company websitelinkedin.com (LinkedIn, opens in new tab)
Base salary $198K to $326K
Employer-published annual base salary, USD. Advertised base range in Mountain View, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationMountain View, CA
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (31 min ago) · observed since
About this job
Company 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.
Job 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.
LinkedIn operates one of the largest privately managed compute infrastructures in the world outside of the public cloud providers. As a Senior Engineering Manager on the Compute Infrastructure team, you will lead a critical area of the organization responsible for shaping and evolving the foundational compute platform that powers LinkedIn’s global products, business, and AI-first future.
LinkedIn’s Compute Infrastructure stack serves as our internal private cloud, supporting everything from the real-time services behind products serving over a billion members, to large-scale data and analytics pipelines processing petabytes daily, to the AI/ML infrastructure powering recommendations, search relevance, and generative AI at scale. The platform is deeply Kubernetes-centric and purpose-built to meet LinkedIn’s unique challenges around scale, reliability, performance, efficiency, and rapidly growing AI compute demands.
As part of our world-class software engineering organization, you will set the vision and multi-year strategy for key areas of LinkedIn’s next-generation compute infrastructure. You will lead teams building and operating highly distributed systems at massive scale, bringing a strong systems orientation across areas such as distributed systems, concurrency, scalability, performance, resource management, and API design. Your organization will leverage and contribute to modern cloud-native technologies such as Kubernetes and gRPC while solving infrastructure challenges at a scale and level of complexity few engineering organizations encounter.
As a Senior Engineering Manager, you will lead and grow a high-performing organization of infrastructure engineers and engineering leaders, setting priorities and driving execution across complex, multi-year initiatives. You will make critical architectural and investment trade-offs across reliability, scalability, efficiency, developer velocity, and long-term platform health.
You will also play a key role in developing engineering leaders, raising the bar for technical and operational excellence, and building an inclusive, high-performing organization capable of delivering foundational infrastructure with company-wide impact.
Responsibilities
- Lead, coach, and scale a multi-team organization of engineers and engineering managers working on core infrastructure platforms.
- Partner with senior and executive management to define, champion, and execute a long-term technology roadmap and vision for LinkedIn’s core infrastructure.
- Drive deep technical and architectural discussions, challenge the status quo, and steer complex cross-functional directions to push the envelope of system performance.
- Communicate and collaborate effectively with executive stakeholders across engineering, product, and business leadership to align organizational goals.
- Scale the organization by setting clear expectations, openly evaluating performance, upholding high accountability, and actively coaching future leaders (managers and principal/staff engineers) to stretch their skills.
- Drive a culture of operational excellence and architectural rigor. Lead the organization into defining performance goals and metrics, and build the infrastructure necessary to maintain a world-class quality bar and detect issues in real time.
- Create an inclusive work environment that fosters autonomy, transparency, innovation, and learning across multiple teams, while holding an elite bar for engineering quality.
Qualifications
Basic Qualifications
- BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.
- 3+ years of experience in software engineering/technical management and people management.
- 7+ years of industry experience in software design, development, and large-scale software engineering
- Experience programming in object-oriented and/or functional programming languages(like Java/CPP/Scala/etc.)
- 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
- 4+ years of software engineering management experience
- 2+ years exp managing managers
Suggested Skills
- Technical Leadership
- People Management
- Stakeholder Management
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $198,000 to $326,000. 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
Additional Information
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.
If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.
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.
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. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
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.
Source: LinkedIn on SmartRecruiters · View original posting (opens in new tab)
Pay in context
This role's base floor ($198,000) is above 70% of the 4,316 Software Engineering roles in California listed on this site; 8 others list the same floor. Their median floor is $176,100; the middle half runs from $149,100 to $203,125.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingSr. Manager, Software Engineering, Compute Infrastructure$198K to $326K
Senior Staff Software Engineer, AI Infrastructure$198K to $326K
Sr. Staff Software Engineer, Capacity Engineering$198K to $326K
Sr. Staff Software Engineer, Systems Infrastructure$198K to $326K
Sr. Staff Software Engineer, Development Infrastructure$198K to $326K
Sr. AI Engineering Manager, Ads AI$198K to $326K
Sr. Staff Software Engineer, AI Infrastructure$198K to $326K
Chart as a table
| Role | Published base |
|---|---|
| Sr. Manager, Software Engineering, Compute Infrastructure (this listing) | $198K - $326K |
| Senior Staff Software Engineer, AI Infrastructure | $198K - $326K |
| Sr. Staff Software Engineer, Capacity Engineering | $198K - $326K |
| Sr. Staff Software Engineer, Systems Infrastructure | $198K - $326K |
| Sr. Staff Software Engineer, Development Infrastructure | $198K - $326K |
| Sr. AI Engineering Manager, Ads AI | $198K - $326K |
| Sr. Staff Software Engineer, AI Infrastructure | $198K - $326K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Stopped meeting the published-salary criteria
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-01
Where this pay comes from
Location as the employer wrote it: Mountain View, CA, United States
The pay range for this role is $198,000 to $326,000. Actual compensation packages are based on several factors
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
