CreateFuture - Senior Cloud & AI Platform Engineer

• Core Technical Capabilities • Candidates must demonstrate a hybrid balance across the three strategic pillars: Software Engineering (30%), Infrastructure (40%), and Data Engineering (30%). • Infrastructure & Automation (40%): Lots of experience in writing declarative Infrastructure as Code using Terraform, container orchestration with Kubernetes (managing clusters, nodes, and pods), and building CI/CD pipelines via GitHub Actions. • Infrastructure & Automation (40%): • Software & Agentic Engineering (30%): Proficiency with modern scripting languages for building custom AI agents, configuring workflow orchestration, connecting enterprise API integrations, and implementing agentic guardrails. • Software & Agentic Engineering (30%): • Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing Vector Databases for RAG architectures. • Data Engineering (30%): • Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost optimisation using native CSP tools or utilities like Infracost and Karpenter. • Observability & Cost Management: • Regulated Industries: Experience delivering secure platforms within highly regulated environments, such as iGaming, Financial Services, or banking, where Zero Trust security and strict compliance controls are mandatory, is highly advantageous. • Regulated Industries: • Consulting: Proven experience operating in a client-facing or consulting engineering role, demonstrating strong communication skills, relationship-building capabilities, and adaptability across changing technical contexts. • Consulting: • Preferred Knowledge-level & Certifications • Associate-level cloud certifications (e.g., AWS Solutions Architect Associate or Azure AZ-104). • At least 1 professional-level certification. • Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. • What we’ll offer you: • We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do.We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. • We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. • Our hiring process • Our hiring process • We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. • It usually looks like this: • Call with our Talent Acquisition Team • Role specific capability interview • Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. • Inclusion at CreateFuture • We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. • If you need any adjustments or support during the application process, just. We will do what we can to help. • We look forward to your application!