DevOps / Platform Engineer

The DevOps / Platform Engineer will take ownership of the cloud infrastructure powering an AI-native cybersecurity platform that processes terabytes of data every day. You will help build, maintain, and scale reliable production environments while improving deployment efficiency and operational performance. Working within a multidisciplinary engineering team, you will have significant autonomy and responsibility for critical infrastructure projects. The role combines cloud engineering, CI/CD ownership, observability, incident response, and AI-driven automation. You will also help build and operate production infrastructure for AI agents, with a focus on security, reliability, and cost control. This is an opportunity for a mid-to-senior engineer to make a direct impact in a remote-first, AI-focused engineering environment.

The ideal candidate is a technically strong, autonomous engineer who combines hands-on cloud infrastructure expertise with a proactive approach to problem-solving. You should be comfortable taking responsibility for complex projects, using AI tools as part of your daily workflow, and delivering results in a collaborative remote environment. The following qualifications and competencies are expected:

• Extensive hands-on experience managing production cloud infrastructure using AWS, Microsoft Azure, or Google Cloud Platform (GCP).

• Practical experience with Infrastructure as Code (IaC), particularly Terraform or equivalent technologies.

• Strong experience with Docker and containerized environments.

• Proven ownership of CI/CD pipelines, including build, deployment, and release processes.

• Experience implementing and managing observability, incident response, and robust security practices.

• Daily, hands-on experience using AI agents and advanced AI models in engineering workflows.

• Ability to use LLMs and AI agents independently to learn unfamiliar technologies, navigate new codebases, and manage multiple projects effectively.

• Demonstrated ability to own engineering projects from conception through delivery, rather than focusing solely on assigned tickets.

• Strong customer focus, including the ability to communicate directly with customers and take responsibility for resolving their problems.

• High sense of urgency and sound judgment when reprioritizing work to maximize impact.

• Ability to set priorities, make decisions, and deliver results independently without close supervision.

• Strong communication and collaboration skills, with the ability to explain technical decisions and implementation approaches clearly.

• Growth mindset, openness to constructive feedback, and willingness to rethink existing code or approaches when necessary.

• Trustworthy and accountable working style, with strong attention to detail and the ability to identify and communicate problems early.

• Availability to work remotely during UK business hours.

• Experience with Microsoft Azure, particularly in cloud migration initiatives and Azure Marketplace integration.

• Familiarity with ClickHouse or other data-intensive platforms.

• Experience operating LLM or AI agent workloads in production environments.

• Scripting experience with Python or Go.

• Familiarity with SOC 2, GDPR, or other regulated environments.