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

• 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. • 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.