🚀 DevOps / Cloud & Security Engineer | Azure & GCP | AI & Data Platform

We’re partnering with a fast-growing, product-led technology business operating at the intersection of cloud, data, and AI.

They’re looking for a DevOps / Cloud & Security Engineer to play a key role in scaling a high-performance SaaS platform — owning everything from cloud infrastructure and CI/CD through to security and reliability.

This is a hands-on, high-impact role where you’ll enable engineering and data teams to move quickly, safely, and at scale across a multi-cloud environment (Azure & GCP).

🛠 What You’ll Be Doing

• Design and scale secure, reliable cloud infrastructure across Azure and GCP
• Build and optimise CI/CD pipelines and release processes
• Drive infrastructure as code and automation across environments
• Embed security best practices across platform and applications
• Improve observability (monitoring, logging, alerting, tracing)
• Support ML and data workloads (including Databricks and GCP-native services)
• Scale and optimise search infrastructure (Elasticsearch)
• Lead incident response, root cause analysis, and reliability improvements
• Partner closely with engineering teams to improve developer experience and velocity
• Contribute to cloud, platform, and security architecture strategy

👀 What They’re Looking For

• Strong experience in DevOps / Cloud / Platform Engineering (4+ years)
• Hands-on experience with either Azure or GCP
• Strong experience with Infrastructure as Code (Terraform, Bicep, ARM, etc.)
• Proven track record building and maintaining CI/CD pipelines (Azure DevOps, GitHub Actions, etc.)
• Solid understanding of containers & compute (Docker, Kubernetes/AKS/GKE)
• Experience with observability tooling (Grafana, Datadog, Cloud-native tools, etc.)
• Exposure to data platforms (SQL/NoSQL, Databricks, or GCP data services) is highly beneficial

🤖 Bonus Points For

• Experience supporting MLOps / ML deployment pipelines
• Building CI/CD workflows tailored for AI/ML systems
• Exposure to mobile CI/CD pipelines
• Integrating AI-driven automation into DevOps workflows

🌟 Why It’s Worth a Conversation

• Work on a genuinely AI and data-driven product, not just standard infrastructure
• Exposure to multi-cloud (Azure + GCP) at scale
• High-impact role with real ownership across platform, security, and architecture
• Modern engineering culture focused on automation, scalability, and innovation

If you’re someone who enjoys solving complex platform challenges and wants to work closer to AI, data, and modern multi-cloud engineering, this is definitely worth exploring.