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, 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.
DPX automation team is focused on transforming the way software is built at LinkedIn through AI-driven automation. Our mission is to accelerate development workflows by building intelligent agents and LLM-powered systems that automate key parts of the software development lifecycle. This includes automatic code generation for product development, QA agents for intelligent testing, build fixer agents to streamline CI/CD, and migration agents for seamless framework upgrades. We aim to redefine developer productivity by embedding automation deeply and @contextually into the engineering process-bringing us closer to a future where high-quality software is built faster, with less manual toil.
Responsibilities:
You will lead a small engineering team focusing on AI agents that accelerate developer productivity. Manage performance, career development, and technical excellence.
You will own and deliver key components of the AI automation product suite, driving impact across the software development lifecycle.
You will shape the long-term technology roadmap in partnership with senior leadership, aligning team priorities with company goals.
You will coach and mentor engineers, modeling strong execution, craftsmanship, and bias for action.
You will collaborate across teams to leverage a shared technical stack and bring values to various engineering teams.
You will drive innovation in AI-powered developer tools, working closely with AI/ML engineers to design and scale distributed applications, make architectural trade-offs, and balance speed with quality.
You will ensure robust engineering practices, including code reviews, design reviews, automated testing, and continuous integration.
You will build highly available, performant, and reliable applications that support 24x7 operations at scale.
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 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.
7+ years industry experience in software design, development, and algorithm related solutions.
5+ years programming experience in languages such as Java, C/C++, C#, Python, Go, etc.
Experience in the design and development of performant, highly available, scalable web applications.
Understanding of common performance patterns and anti-patterns in distributed systems.
Successful track record of managing small teams of engineers to deliver multiple projects on time and with quality.
Active involvement in the creation and execution of technical strategies and roadmaps.
Hire and retain world-class engineers by providing career growth, mentoring, and high impact projects, while taking intelligent risks to improve the way work is done
Suggested Skills:
AI Agents
LLM
Technical Leadership
Communication
Software Design
Cross-organizational collaboration
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 $152,000 - $248,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional 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.
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 at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
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 for Job Candidates ?
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
