Senior Backend Engineer, AI Platforms — Remote

Senior Backend Engineer, AI Platforms — Remote

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
GitLab

At a Glance

  • Tasks: Maintain and scale AI-powered event triggers in a mature Rails monolith.
  • Company: Join GitLab, a leader in innovative software solutions.
  • Benefits: Enjoy remote work flexibility, competitive salary, and growth opportunities.
  • Other info: Collaborative environment with global teamwork and continuous learning.
  • Why this job: Be at the forefront of AI technology and make a real impact.
  • Qualifications: Expertise in Ruby/Rails and experience with AI integrations.

The predicted salary is between 60000 - 80000 £ per year.

Git Lab is seeking a Senior Software Engineer to maintain and scale the AI‑powered event triggers within its mature Rails monolith.

You’ll link Git Lab events and third‑party tools to AI workflows, ensuring high availability and robust throughput for automated AI features across the platform.

You’ll work with Ruby/Rails expertise, explore integrations with large language models, and collaborate across time zones to ship reliable capabilities while learning new AI techniques as the platform evolves.

#J-18808-Ljbffr

Senior Backend Engineer, AI Platforms — Remote employer: GitLab

At GitLab, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Site Reliability Engineer, you will have access to extensive growth opportunities, working alongside experienced professionals in a dynamic environment that values your contributions. Our commitment to employee well-being and development, combined with the chance to work on cutting-edge technology in a supportive atmosphere, makes GitLab a truly rewarding place to advance your career.

GitLab

Contact Details:

GitLab Recruitment Team

We think you need these skills to ace Senior Backend Engineer, AI Platforms — Remote

Ruby
Rails
AI Integration
Event-Driven Architecture
High Availability Systems
Throughput Optimization
Collaboration Across Time Zones