Six Figure Work

Manager, Software Engineering, Systems Infrastructure - Agentic Testing Platform

LinkedIn

Company websitelinkedin.com (LinkedIn, opens in new tab)

Base salary $175K  to $287K

Employer-published annual base salary, USD. Advertised base range in Mountain View, CA

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  • LocationMountain View, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (32 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

This role will be based in Mountain View, CA

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.

The QA Agent team is focused on building and evolving an AI-driven testing platform that automates quality validation across web, iOS, and Android experiences. The team's core product, QA Agent, combines AI-powered navigation, bug detection, and cross-platform test execution to help identify product issues through realistic end-to-end testing. The platform is designed to explore products similarly to a human tester, detect issues ranging from obvious failures to increasingly subtle defects, and support testing across multiple environments and devices.

This role will lead a team responsible for advancing both the product and technical foundations of the QA Agent platform. The manager will help guide investments across AI, infrastructure, and product-focused initiatives while partnering closely with engineering and product stakeholders. Success in the role requires balancing technical depth with broad systems thinking, helping the team scale the platform, expand its capabilities, and deliver meaningful quality improvements across the software development lifecycle.

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.

  • You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute critical, large-scale, cross-functional, and company-wide programs.

Qualifications

Basic Qualifications

  • BS/BA in Computer Science or related technical field, or equivalent related experience

  • 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training

  • 5+ years industry experience in software design, development, and algorithm related solutions.

  • 3+ years experience in large-scale system design and software development

  • Experience programming in object-oriented and/or functional programming languages (like Java/Python/C/C++/Scala/etc.)

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

  • 1+ years experience leading developer productivity and quality automation efforts

  • 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 in the design and development of performant, highly available, scalable web applications

  • Successful track record of managing teams of engineers to deliver multiple projects on time and with quality

  • Active involvement in the creation and execution of technical strategies and roadmaps

Suggested Skills

  • Object-oriented programming

  • Web services

  • Infrastructure

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 $175,000 - $287,000. 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 ($175,000) is above 47% of the 4,196 Software Engineering roles in California listed on this site; 57 others list the same floor. Their median floor is $176,500; the middle half runs from $149,200 to $204,000.

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 range next to 6 other live LinkedIn roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live LinkedIn roles with the nearest advertised base floor
RolePublished base
Manager, Software Engineering, Systems Infrastructure - Agentic Testing Platform (this listing)$175K - $287K
Staff Applied Scientist$175K - $287K
Staff AI Engineer (NY)$175K - $287K
Senior Software Engineer, Identity Development$175K - $236K
Staff AI Engineer$175K - $287K
Staff Software Engineer - Compute Infrastructure$175K - $287K
Staff Software Engineer - AI Platform$175K - $287K

Same $100K to $400K scale as every card. All LinkedIn roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
  3. Stopped meeting the published-salary criteria
  4. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-07
Where this pay comes from

Location as the employer wrote it: Mountain View, CA, United States

The pay range for this role is $175,000 - $287,000. 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.