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

About Smart WorkingAt Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being. Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.About the RoleAs a DevOps / Platform Engineer, you will play a key role in supporting and scaling 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 operates with a flat structure and a single-owner model, where engineers independently own their discipline within each project while collaborating closely with others.This role suits a mid-to-senior engineer who thrives on autonomy, embraces AI-assisted engineering and wants to deliver high-impact solutions.ResponsibilitiesRun, maintain and scale production cloud infrastructure supporting a platform that processes terabytes of data dailyOwn build, deployment and release pipelines for Python, C++ and TypeScript applicationsBuild and manage production infrastructure for AI agents, incorporating observability, guardrails and cost controlsTake ownership of observability and incident response to maintain platform reliabilityAutomate repetitive operational work using AI agentsTake end-to-end ownership of infrastructure and platform engineering projects, from identifying requirements through to deliveryManage multiple priorities, including two major projects alongside smaller AI-driven tasks, while maintaining effective communication and collaborationRequirementsDeep, 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 technologiesHands-on experience with Docker and containerised environmentsProven ownership of CI/CD pipelines, including build, deployment and release processesExperience implementing and managing observability, incident response and rigorous security practicesDaily, hands-on use of AI agents and frontier AI models as part of engineering workflowsDemonstrated ability to use LLMs and AI agents autonomously to learn unfamiliar technologies, navigate unfamiliar codebases and manage multiple projects effectivelyAbility to independently own engineering projects from start to finish rather than simply completing assigned ticketsStrong customer focus, including willingness to communicate directly with customers and take ownership of solutions until customer problems are resolvedA high sense of urgency, with the judgement to reprioritise work and focus on delivering the greatest impactAbility to set priorities independently, make decisions and deliver results without close supervision while maintaining consistent communication and collaborationA growth mindset, with openness to constructive criticism, willingness to discard or rethink existing code and projects, and commitment to improving the wider teamA trustworthy and accountable approach, demonstrating honesty, attention to detail, early identification of problems and consistent deliveryAbility to explain technical decisions, implementation approaches and engineering solutions clearly, demonstrating genuine technical understandingAbility to work remotely during UK working hoursNice to HaveExperience with Microsoft Azure, particularly relevant to cloud migration initiatives and Azure Marketplace integrationExperience working with ClickHouse or other data-intensive platformsExperience running Large Language Model (LLM) or AI agent workloads in productionScripting experience with Python or GoFamiliarity with SOC 2, GDPR or other regulated environmentsWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.