About this role
Responsibilities
- Run, maintain and scale production cloud infrastructure supporting a platform that processes terabytes of data daily.
- Own build, deployment and release pipelines for Python, C++ and TypeScript applications.
- Build and manage production infrastructure for AI agents, incorporating observability, guardrails and cost controls.
- Take ownership of observability and incident response to maintain platform reliability.
- Automate repetitive operational work using AI agents.
- Take end-to-end ownership of infrastructure and platform engineering projects, from identifying requirements through to delivery.
- Manage multiple priorities, including two major projects alongside smaller AI-driven tasks, while maintaining effective communication and collaboration.
Requirements
- Deep, hands-on experience managing production cloud infrastructure, with expertise in AWS, Microsoft Azure or Google Cloud Platform (GCP).
- Practical experience with Infrastructure as Code (IaC), using Terraform or equivalent technologies.
- Hands-on experience with Docker and containerised environments.
- Proven ownership of CI/CD pipelines, including build, deployment and release processes.
- Experience implementing and managing observability, incident response and rigorous security practices.
- Daily, hands-on use of AI agents and frontier AI models as part of engineering workflows.
- Demonstrated ability to use LLMs and AI agents autonomously to learn unfamiliar technologies, navigate unfamiliar codebases and manage multiple projects effectively.
- Ability to independently own engineering projects from start to finish rather than simply completing assigned tickets.
- Strong customer focus, including willingness to communicate directly with customers and take ownership of solutions until customer problems are resolved.
- A high sense of urgency, with the judgement to reprioritise work and focus on delivering the greatest impact.
- Ability to set priorities independently, make decisions and deliver results without close supervision while maintaining consistent communication and collaboration.
- A growth mindset, with openness to constructive criticism, willingness to discard or rethink existing code and projects, and commitment to improving the wider team.
- A trustworthy and accountable approach, demonstrating honesty, attention to detail, early identification of problems and consistent delivery.
- Ability to explain technical decisions, implementation approaches and engineering solutions clearly, demonstrating genuine technical understanding.
- Ability to work remotely during UK working hours.
Nice to Have
- Experience with Microsoft Azure, particularly relevant to cloud migration initiatives and Azure Marketplace integration.
- Experience working with ClickHouse or other data-intensive platforms.
- Experience running Large Language Model (LLM) or AI agent workloads in production.
- Scripting experience with Python or Go.
- Familiarity with SOC 2, GDPR or other regulated environments.