Manager, Software Engineering; Code Collaboration
Listed on 2026-01-16
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Software Development
Software Engineer, DevOps
Location: Mountain View
Company Description
Linked In 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 DescriptionThis role will be based in Mountain View, CA. At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.
This manager role is for the Code Collaboration Team, responsible for the code review and ownership experience h AI-assisted development coming to the forefront, code review will eventually become a bottleneck as we need to ensure that code reviews are done in a timely manner while maintaining a high quality bar. This will involve revamping our code review policies and tooling across engineering, including looking into AI code review solutions.
Another one of DPX’s highest priorities is to move our 14K microsevices to a monorepo-like architecture. As the manager of the team, you will be responsible for ensuring that the code review experience is performant, reliable, and delightful for Linked In’s engineers as we rearchitect the engineering system.
This role is part of the Developer Platform and Experience (DPX) organization where you will get an opportunity to influence, transform, and create an amazing experience for developers are a data driven organization and you will lead strategic investments to make step function improvements in the lives of Linked In 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 Linked In Engineers to build member facing products;
Provide actionable insights that leverages data and metrics;
Provide tools and data that help Linked In 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.
- You will manage a team to build and ship software at scale that delivers impact.
- You will improve all aspects of developer experience with a data driven mindset.
- You will manage a team to design and build tools and frameworks to automate development, testing, deployment, management, monitoring, data gathering and analysis of our 24×7 services and products.
- You will develop and evangelize solutions to challenges faced by every product and infrastructure team at Linked In to improve developer happiness, productivity, and efficiency.
- You will scale the infrastructure and tools required to keep our 6000 developers in step when they are all sharing the same code, building and testing our software stacks, and releasing and deploying their services continuously without compromising site reliability.
- You will provide technical and people leadership, driving and performing best engineering practices to initiate, plan, and execute critical, large-scale, cross-functional, and company-wide programs.
- 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.
- 4 years of industry experience in software design, development, and large-scale software engineering.
- 4 years programming experience in object-oriented programming languages such as Python, Java, Java script, C/C, C#, Objective-C.
- MS or PhD in Computer…
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