Staff Backend Engineer (AI), Verify

Responsibilities

We are representing a confidential DevSecOps platform organization seeking a Staff Backend Engineer to shape and scale their core CI infrastructure with an AI-first approach. In this role, you will:

• Design and implement AI-powered features for agentic CI workflows, including agents, agentic flows, and LLM-backed tooling that integrates with the client's AI agent platform at enterprise scale
• Shape and scale backend infrastructure to improve performance, reliability, and usability for users running millions of CI jobs, from small teams to Fortune 100 enterprises
• Build foundational CI agents that auto-create pipelines for new projects and automate failing pipeline fixes from internal dogfooding through controlled customer rollout
• Own and drive measurable performance improvements across CI systems including database access patterns, background processing, and job orchestration by forming hypotheses, running experiments, and validating results with data
• Build instrumentation and observability layers that make agentic CI trustworthy in production—trigger volume dashboards, retry rates, cost safeguards, feature behavior metrics, and safeguards
• Write secure, well-tested, maintainable Ruby on Rails code in a large monolith, improving existing features while reducing technical debt and operational risk
• Lead cross-functional technical work with Product, UX, and Infrastructure teams, influencing architecture and execution across the CI/CD domain
• Define success criteria for AI in CI before building, including baselines, measurable outcomes, and clear signals that help teams learn and iterate
• Share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and evidence-driven engineering

What We're Looking For

• Advanced proficiency with Ruby and Ruby on Rails, with experience building and maintaining reliable backend services in a large codebase
• Strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation
• Hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains
• Practical experience designing and shipping AI-powered backend features and integrations, including sound judgment about large language model limitations and responsible use in production
• A data-driven approach to engineering: defining hypotheses, establishing baseline metrics, instrumenting changes, and measuring outcomes against clear success criteria
• Familiarity with observability patterns and tools (metrics, logging, tracing) to diagnose issues, improve reliability, and guide iteration
• Strong backend architecture and delivery practices, including secure design, well-tested code, and strategies for safe rollouts and zero-downtime changes
• Clear written and verbal communication skills, including writing technical proposals and documentation, and collaborating effectively in a remote, asynchronous, cross-functional environment
• Ability to partner with Engineering, Product, and UX leadership to pressure-test priorities, identify where teams can move faster, and spot opportunities to innovate

How We Work With You

Our talent team at Get A Job.ai partners with innovative organizations to connect them with exceptional engineering talent. When you apply through our platform:

• You'll submit your application directly on getajob.ai
• A recruiter from our team will screen your qualifications and experience
• We'll submit qualified candidates to our client for consideration
• Please do not contact the client directly—we manage the entire recruitment process on your behalf

This is a remote position based in the United Kingdom. Our client supports full-time employees with comprehensive benefits, flexible paid time off, equity compensation, growth and development funding, and parental leave.

Pay

Compensation details will be discussed with qualified candidates during the screening process.

Equal Employment Opportunity

Get A Job.ai is committed to equal employment opportunity. We welcome interest from candidates with varying levels of experience. Studies have shown that people from underrepresented groups are less likely to apply unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.