SC Cleared Senior DevMLOps Engineer (Azure)
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Job Title: SC Cleared Senior DevMLOps Engineer (Azure)
Contract Length: 6-month contract (with scope to extend)
Location: Remote, UK Based
Start Date: ASAP or negotiable
Clearance Required: Requires active SC Clearance
We are seeking an experienced Senior DevMLOps / Platform Engineer to support the development of secure, scalable cloud platforms in Microsoft Azure.
The role focuses on platform engineering, DevSecOps and automation supporting data platforms, machine learning workloads and modern microservices architecture.
The successful candidate will work within a cross-functional engineering team building secure-by-design cloud infrastructure, enabling reliable deployment of data and ML services while ensuring strong governance, security and scalability across the platform.
Key Responsibilities
- Design and maintain secure, scalable Azure cloud platforms supporting data and ML workloads
- Develop Infrastructure as Code using Terraform, Bicep or similar tools to build governed cloud environments and landing zones
- Build and maintain CI/CD pipelines using Azure DevOps for infrastructure, applications and ML deployment
- Support Azure Databricks and Azure Data Lake based data platforms
- Deploy and manage containerised services on Kubernetes / AKS
- Implement DevSecOps practices including SAST, DAST and container security scanning within pipelines
- Implement monitoring, logging and observability across infrastructure and applications
- Collaborate with engineering, data and security teams to improve platform reliability, scalability and security
Required Skills and Experience
- Strong experience in DevOps, Platform Engineering or DevMLOps roles
- Hands-on experience with Microsoft Azure cloud infrastructure
Desirable Skills
- Experience implementing Azure Landing Zones / Cloud Adoption Framework architectures
- Experience with GitOps tools such as ArgoCD
- Familiarity with Spark, Delta Lake or distributed data processing frameworks
- Experience with Microsoft Defender for Cloud or Microsoft Sentinel
- Exposure to MLOps or machine learning platform engineering