V05809 - DevOps Engineer
Outsource
- London, England, United Kingdom
- London, England, United Kingdom
Über
Flexible (UK-based, with 1–2 days per week onsite) Duration:
9 months Rate:
£525 per day (PAYE) or £709.70 via umbrella (inside IR35)
About the Role We are seeking an experienced
DevOps Engineer
to support the Enterprise Data Platform (EDP), delivering robust infrastructure and deployment pipelines for advanced AI/ML workloads. This role is ideal for someone with deep expertise in cloud-native technologies, automation, and secure platform engineering within Azure environments.
You will play a key role in designing, building, and maintaining scalable, secure, and high-performing infrastructure, while working closely with Data Engineers, MLOps Engineers, and Solution Architects.
Key Responsibilities Design, build, and maintain
CI/CD pipelines
using GitLab CI for reliable, automated deployments to Azure Kubernetes Service (AKS) Develop and manage
containerisation workflows
using Docker, including image build and registry management Configure and support
AKS clusters , ensuring scalability, resilience, and security Implement
Infrastructure as Code (IaC)
using Terraform aligned with Azure Landing Zone standards Manage secrets and access control using
Azure Key Vault
and
Azure AD Enable hybrid connectivity between on-premises and cloud environments Support orchestration workflows using
Apache Airflow Monitor system performance using tools such as Azure Monitor, Prometheus, and Grafana Collaborate across engineering teams to ensure reproducibility, scalability, and compliance Contribute to architecture discussions and promote DevOps best practices Skills & Experience
Essential: Strong experience with
Azure , including networking, RBAC, and Landing Zone principles Hands-on expertise with
GitLab CI/CD pipelines Experience with
Docker
and container orchestration (AKS preferred) Proven experience with
Terraform
(or similar IaC tools such as Bicep) Solid understanding of cloud networking (hub/spoke, private endpoints) Experience troubleshooting infrastructure and deployment issues Strong collaboration and communication skills Desirable: Experience with
Airflow
or similar orchestration tools Knowledge of observability tooling (Prometheus, Grafana) Exposure to AI/ML platform environments Qualifications Relevant degree or equivalent industry experience Why Join? This is an opportunity to work on cutting-edge data and AI platforms within a highly secure and impactful environment. You'll be part of a collaborative, forward-thinking team where your expertise will directly influence platform capability, scalability, and innovation. TPBN1_UKTJ
Sprachkenntnisse
- English
Hinweis für Nutzer
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