Technical Leadership & Platform Support

• Technical Direction: Take responsibility for the technical direction and delivery of single or multiple client and internal project teams, acting as either a technical lead or a solo contributor.
• AI-Native Infrastructure: Architect and implement the core engineering infrastructure required to run AI workloads reliably, moving client architectures from static data lakes to dynamic Vector Databases and Retrieval-Augmented Generation (RAG) architectures.
• Agentic Development: Build production-grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap.
• Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches, and common service patterns across the entire CreateFuture organisation. Ensure Infrastructure as Code (IaC) is the organisational default and challenge inefficient legacy processes.
• FinOps & Governance: Enforce strict automated security and cost controls, real-time cost-anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches.
• Internal Platform Support: Assist the Capability Lead and architects in defining and delivering an internal collection of reusable components, reference architectures, and Proof of Concepts (PoCs). Supporting the internal IT function in helping other parts of the business use Cloud services.

Leading & Mentoring

• Culture & Collaboration: Lead by example, creating a culture of open, honest feedback, collaboration, ownership, and accountability.
• People Development: Create a psychologically safe environment for the team that enables them to grow by supporting their development journeys and career aspirations.
• Capability Growth: Work alongside the Capability Lead and Director of Cloud and Data to identify missing or inconsistent skills within the department, supporting team members through tiered certification journeys.
• Recruitment: Collaborate with Talent Acquisition through the recruitment process, including conducting interviews, candidate debriefs, and strategic decision-making to attract top talent.

Skills & Experience

Core Technical Capabilities

Candidates must demonstrate a hybrid skillset, balancing Software Engineering (30%), Platform/SRE (40%), and Data Engineering (30%), with a core focus on Security, Governance, and Cost Management.

• Cloud & Infrastructure (40%): Advanced Infrastructure as Code (IaC) via Terraform, advanced Kubernetes administration (clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a cost-optimisation mindset.
• Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production-level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python.
• Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real-time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures.
• Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost-control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian).

Domain & Sector Experience

• Regulated Industries: Experience working in highly regulated sectors such as Financial Services or iGaming is helpful, demonstrating an understanding of strict compliance, data privacy risks, and governance guardrails.
• Consulting: Proven background in a client-facing consulting capacity, managing stakeholders, handling commercial realities, and meeting strict SLAs, timescales, and budgets.

Preferred Knowledge-level & Certifications

• Certified Kubernetes Administrator (CKA).
• Multiple professional-level certifications (AWS Certified Solutions Architect - Professional or Azure Architect AZ-305.)
• Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate.
• FinOps Certified Practitioner (FOCP).

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

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 let us know. We will do what we can to help.

We look forward to your application!