DevOps / Platform Engineer (Remote, Full-Time) [AS348]

Smart Working Solutions

3d • Remote

About The Position

As a DevOps / Platform Engineer, you will support and scale the cloud infrastructure behind an AI-native cybersecurity platform that processes terabytes of data daily. You will take end-to-end ownership of critical infrastructure and contribute to the reliability, scalability, and operational efficiency of the platform.

You will join an engineering team of 14+ professionals across Backend, DevOps, Endpoint, Frontend, and Design, reporting to the VP of Engineering and AI. The team has a flat structure and uses a single-owner model: engineers independently own their discipline within each project while collaborating closely with others. This role is suited to a mid-to-senior engineer who thrives on autonomy, embraces AI-assisted engineering, and wants to deliver high-impact solutions. The position is remote and requires working during UK working hours.

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.
• 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 own solutions until customer problems are resolved.
• A high sense of urgency and 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, including 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 Haves

• Experience with Microsoft Azure, particularly in relation 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.

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.
• Own infrastructure and platform engineering projects end to end, from identifying requirements through delivery.
• Manage multiple priorities, including two major projects alongside smaller AI-driven tasks, while maintaining effective communication and collaboration.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed