Technical Lead - Developer Experience (DevEx)
New
A
Arbor EducationEducation Technology
RemoteFull-TimeLead
Salary90,000 - 100,000 GBP per year
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Job Details
- Experience
- Considerable experience
- Required Skills
- AWSDockerPHPPythonArtificial IntelligenceKubernetesMachine LearningGoCI/CDTerraformMicroservicesDatadogGenerative AIDistributed Systems
Requirements
- Considerable experience in Developer Relations, Developer Productivity, or building internal tooling on complex systems
- Proven experience integrating and leveraging AI, machine learning, or generative AI tools (e.g., Cursor, Claude Code, Coder)
- Extensive expertise with AWS and distributed cloud architectures
- Proven experience with measuring and optimizing engineering efficiency metrics and reducing deployment friction
- Advanced proficiency with Terraform and configuration management tools
- Strong skills in Python, Go, or a similar language for automation and tooling
- Experience in PHP, or another language; preferably in a significantly sized Object Orientated codebase
- Deep experience with monitoring and observability platforms (e.g., DataDog or equivalent)
- Expert understanding of distributed systems and microservices and how to apply resilience patterns to internal tools
- Hands-on experience with containerization and orchestration technologies (Docker, Kubernetes, ECS)
- Practical experience with building and maintaining CI/CD pipelines
- Demonstrated ability in mentoring and supporting the growth of fellow engineers
- Experience organising and driving team workstreams
Responsibilities
- Define and guide the architecture of internal developer tools and services, specifically assessing, integrating, and maintaining AI-powered tools.
- Own and evolve the organisation's agentic AI working practices across R&D, defining standard skills, instructions, agent configurations, and interaction patterns.
- Establish and maintain an agentic-first SDLC framework, setting clear expectations for how AI agents are incorporated into code authoring, review, testing, documentation, and deployment workflows.
- Act as the organisation's thought leader on the future of agentic AI in software engineering, continuously scanning the landscape, running experiments, and translating emerging capabilities into practical, adopted standards.
- Champion developer productivity by identifying and addressing pain points in the development lifecycle and driving continuous improvement in developer workflows and tooling.
- Drive automation initiatives, leveraging agentic AI and machine learning techniques, across the team to streamline developer onboarding, reduce cognitive load, and eliminate development environment toil.
- Define and uphold developer experience standards, promote clear documentation, and work with teams to ensure seamless adoption of new technologies and best practices.
- Lead technical estimation and feasibility assessments for DX initiatives, ensuring plans are realistic and aligned with team capacity and support post-release reviews.
- Mentor and coach engineers through constructive feedback, knowledge sharing, and motivation, fostering alignment and helping the team galvanise around technical solutions and goals.
- Work closely with Product Managers, Engineering Managers, and other engineers to gather feedback, understand developer pain points, and align technical direction with product strategy.
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