Log In
Sign Up
Applications have closed
Linkedln is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
At Linkedln, we trust each other to do our best work where it works best for us and our teams. This role offers hybrid options, meaning you can work from home and commute to a Linkedln office, depending on what’s best for you and when it is important for your team to be together.
This role is based in Mountain View, CA.
The CI platform team within the Developer Platform and Experience (DPX) organization is responsible for providing an automated, instantaneous, efficient, and delightful software delivery pipeline that is used by LinkedIn developers every day. Developer Platforms and Experiences (DPX) organization helps accelerate R&D velocity and drive product innovation. Our vision for DPX is to create capabilities that drastically reduce the iteration time for new features while dramatically increasing the stability and quality of all software at LinkedIn. At the core of this vision is our unwavering commitment to enhancing the developer experience.
We automate everything from developing and shipping quality code, dynamically scheduling computing resources, and deploying our code to those resources within LinkedIn world class data centers that power LinkedIn services.
This leadership role is part of the CI Platform team in the Developer Platform and Experience (DPX) organization where you will get an opportunity to influence, transform, and create an amazing experience for developers at LinkedIn. You will identify, develop, and lead strategic investments to make development iterations faster and make step function improvements in the lives of developers. This spans multiple areas including but not limited to: Providing tools and infrastructure that creates delightful development experience; Provide and support application frameworks that empower LinkedIn Engineers to build member facing products; Provide actionable insights that leverages data and metrics; Provide tools and data that help LinkedIn teams listen to their customers; and most importantly deliver reliable and scalable infrastructure. You will have the opportunity to engage the industry-wide developer community and contribute to open-source software as well.
Responsibilities:
● Build and mentor an engineering team that provides Microservice and CI infrastructure and tools that enable all LinkedIn developers to build services for LinkedIn members
● Work across Engineering to build relationships with other teams and use their feedback
and understand their goals to build and prioritize a roadmap for your team
● Own the design, development, testing, deployment and craftsmanship of your team’s
infrastructure and systems capable of handling massive amounts of requests with high
reliability and scalability
● Leverage your deep and broad technical expertise to mentor engineers and provide
leadership on resolving complex technology issues
Basic Qualifications:
● BS in Computer Science or related technical field with 5+ years of relevant engineering work
experience
● 3+ years of hands-on technical management experience
● 4+ years programming in Python, Java, C++, Go, Rust
● Experience in collaboration and project management tools (like Jira and Confluence)
Preferred Qualifications:
● Experience with developing Developer tools and infrastructure, including development and code collaboration environments, CI/CD pipelines and measuring software development productivity and quality
● Experience with cloud-native technologies and platforms, including containerization (e.g., Docker images), orchestration (e.g., Kubernetes), and cloud services (e.g Microsoft Azure)
● Been actively involved in creation and execution of technical strategy and roadmap
● Experience with architectural patterns of large, high-scale systems
● Shipped several large-scale projects with multiple dependencies across teams
● Actively coached and mentored team members in their careers
● Track record in partnering with recruiting to build incredible engineering teams
● Experience with Microservice or Monorepos is a plus
● Experience managing hybrid teams across US time zones is a plus
● Excellent verbal and written communication skills
Suggested Skills:
● Technical Leadership
● Software Engineering
● Software Design & Architecture
Linkedln is committed to fair and equitable compensation practices.
The pay range for this role is $144,000 to $235,000. 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
LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.
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.
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
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
