Platform Engineer & AI​/Data Solutions Architect

Job description Connect to your opportunity

We're on the lookout for a talented and experienced platform engineer to join our rapidly growing team. Every day is different, requiring your in-depth knowledge of engineering and architectural principles to design and build innovative platform solutions for our broad range of clients.

• Design, develop, and maintain high‑quality platforms and pipelines.
• Participate throughout the software development lifecycle, from design to deployment and maintenance.
• Engage and provide technical insight during system design.
• Collaborate with cross‑functional teams to deliver software solutions.
• Write well‑documented code and contribute to technical documentation.
• Proactively troubleshoot issues, maintain the smooth operation of live services, and play a key role in resolving complex production issues.
• Stay up to date with the latest technologies and best practices, assessing their impact and identifying opportunities for adoption.
• Effectively communicate complex technical topics to both technical and non‑technical audiences.
• Actively contribute to the engineering community.

• Proven experience designing, building, and maintaining cloud‑based platforms and infrastructure, with a strong focus on Google Cloud Platform (GCP).
• Hands‑on experience with GCP services such as Compute Engine, Cloud Storage, VPC, IAM, Cloud Functions, and GKE (Google Kubernetes Engine).
• Proficient in Infrastructure as Code (IaC) using tools such as Terraform (including for GCP) or Deployment Manager.
• Strong background in CI/CD pipeline design and automation using tools like Jenkins, Git Lab CI, Cloud Build, or similar.
• Proficiency in scripting languages (e.g., Python, Bash, Go).
• Experience with containerisation and orchestration (Docker, Kubernetes, GKE).
• Solid understanding of networking, security, and identity management in cloud environments, including GCP‑specific best practices.
• Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, ELK stack, GCP Operations Suite).
• Experience with version control systems (e.g., Git).
• Ability to troubleshoot and optimise workloads for performance, cost, and reliability on GCP.

• Experience with multi‑cloud or hybrid cloud environments (AWS, Azure, on‑premise).
• Exposure to service mesh technologies (e.g., Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet).
• Knowledge of site reliability engineering (SRE) principles and practices.
• GCP certifications (e.g., Cloud Digital Leader, Associate Cloud Engineer, Dev Ops Engineer).
• ITILv4 Foundation certification.
• Familiarity with GCP AI/ML services (AI Platform, AutoML).
• Experience with GCP billing, cost management, and optimisation.
• Exposure to GCP security tools (Security Command Centre, Cloud Armor or Cloud Security Scanner).
• Experience delivering complex projects from backlog through to production.

• Excellent communication, collaboration and problem‑solving abilities, enabling the identification and resolution of challenges in a dynamic, fast‑paced environment.
• Ability to understand task requirements, dependencies, and prioritise work effectively for the team.
• Ability to mentor and guide junior engineers.
• Willing and eligible to obtain UK security clearance to Security Check (SC) if required.