Arbor

Arbor

Arbor is the leading cloud MIS provider in the UK, empowering schools and MATs to collaborate effectively, save time, and enhance pupil achievement through centralized data management and insightful analytics.

IT Services
51-250

Description

  • Define and guide the architecture of internal developer tools and services, including AI-powered agents, coding assistants, and diagnostic tools.
  • Own and evolve the organisation’s agentic AI working practices across R&D, including standards for instructions, configurations, and interaction patterns.
  • Establish an agentic-first software development lifecycle framework covering code authoring, review, testing, documentation, and deployment.
  • Lead experimentation and evaluation of emerging AI and Generative AI capabilities and translate them into practical engineering standards.
  • Identify developer pain points across the development lifecycle and drive improvements to workflows and tooling.
  • Measure internal engineering productivity metrics such as build times and deployment cycle time and use them to guide continuous improvement.
  • Lead automation initiatives to streamline onboarding, reduce cognitive load, and remove development environment toil.
  • Define and uphold developer experience standards, documentation quality, and production readiness expectations for services.
  • Lead technical estimation, feasibility assessments, release planning support, and post-release reviews for DX initiatives.
  • Mentor and coach engineers, and collaborate with Product Managers, Engineering Managers, and engineers to align technical direction with product strategy.

Requirements

  • Considerable experience in Developer Relations, Developer Productivity, or building internal tooling on complex systems.
  • Proven experience using AI, machine learning, or generative AI tools such as Cursor, Claude Code, or Coder to improve developer workflows.
  • Extensive experience with AWS and distributed cloud architectures for building developer-facing services.
  • Proven experience measuring and optimising engineering efficiency metrics and reducing deployment friction.
  • Advanced proficiency with Terraform and configuration management tools for managing developer environments.
  • Strong scripting ability in Python, Go, or a similar language for automation and tooling.
  • Experience with PHP or another language, preferably in a significantly sized object-oriented codebase.
  • Deep experience with monitoring and observability platforms such as Datadog or equivalent.
  • Expert understanding of distributed systems and microservices, including resilience patterns for internal tools.
  • Hands-on experience with containerisation and orchestration technologies such as Docker, Kubernetes, or ECS.
  • Practical experience building and maintaining CI/CD pipelines.
  • Demonstrated ability to mentor engineers and drive team workstreams.

Benefits

  • Salary of £90,000 to £100,000.
  • 32 days holiday including Bank Holidays, made up of 25 days annual leave plus 7 company-wide days over Easter, Summer, and Christmas.
  • Flexible working arrangements.
  • Dedicated wellbeing support, including mindfulness, lunch and learns, manager training, and mental health first aid training.
  • Comprehensive wellness cover through AIG Smart Health, including 24/7 virtual GP access, mental health support, counselling, and health checks.
  • Private dental insurance with Bupa and salary sacrifice pension with Scottish Widows.
  • Enhanced parental leave, including 20 weeks full pay for maternity and adoption leave and 6 weeks full pay for paternity leave.
  • Dedicated professional development budget for CPD courses, upskilling resources, and professional memberships.

Interested in this position?

Apply directly on the company website

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