Intermediate Frontend Engineer (Vue.js), AI Powered: Workflow Catalog at GitLab
Remote, British Columbia, Canada -
Full Time


Start Date

Immediate

Expiry Date

05 Oct, 25

Salary

0.0

Posted On

05 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

GitLab is an open core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating the rate of human progress. This mission is integral to our culture, influencing how we hire, build products, and lead our industry. We make this possible at GitLab by running our operations on our product and staying aligned with our values. Learn more about Life at GitLab.
Thanks to products like Duo Enterprise, and Duo Workflow, customers get the benefit of AI at every stage of the SDLC. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier. All team members are encouraged and expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact across our global organization.

Responsibilities

AN OVERVIEW OF THIS ROLE

We are seeking an Intermediate Frontend Engineer to join our AI Powered:Workflow Catalog team. The Workflow Catalog team forwards GitLab’s AI initiatives, building the platform that will allow users to discover, browse, and deploy AI agents, workflows, and tools. We operate with a startup mentality within GitLab; moving fast, failing fast, and iterating rapidly to compete in the AI landscape.
As an Intermediate Frontend Engineer on the Workflow Catalog team, you’ll help create the user interface for GitLab’s AI discovery platform. You’ll work with AI technologies while building intuitive experiences that make AI workflows accessible to both technical and non-technical users. This is an opportunity to help shape AI tooling at GitLab while working with a team of experienced engineers.

Some key challenges you’ll help solve include:

  • Building a catalog interface for AI agents, workflows, and MCP (Model Context Protocol) components
  • Creating reusable catalog components that work across different AI tool types without requiring users to understand complex YAML configurations
  • Implementing discovery and browsing experiences that compete with other AI platforms
  • Integrating with backend services including Workflow Service and AI Gateway
  • Balancing rapid prototyping with maintainable, scalable architecture

WHAT YOU’LL DO

  • Develop features and improvements to the GitLab product in a secure, well-tested, and performant way using Vue.js and GraphQL
  • Collaborate with Product Management and other stakeholders (Backend, UX, etc.) to iterate on new features within the GitLab product
  • Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale web environment. Maintain and advocate for these standards through code review
  • Build responsive and accessible components that deliver an excellent user experience across devices and user needs
  • Consistently ship features and improvements with minimal guidance and support from other team members. Collaborate with the team on larger projects
  • Work closely with UX designers to implement intuitive and effective user interfaces
  • Learn, collaborate and teach other Frontend Engineers. Everyone can contribute something new to the team regardless of how long they’ve been in the industry
  • Participate actively in code reviews and provide constructive feedback to enhance code quality
  • Help improve our test coverage and system reliability through thoughtful testing practices
  • Contribute to troubleshooting and resolving technical issues as they arise
  • Support technical documentation and internal knowledge sharing initiatives
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