DevOps / Platform Engineer

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.