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Azure CloudOps Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Delta-Capita
Full Time position
Listed on 2026-09-24
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Azure, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 110000 GBP Yearly GBP 80000.00 110000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Role
- Azure Cloud Ops Engineer

Employment Type

- Fixed term contract - 6 months

Mode
- Hybrid/ Remote

Role Overview :

We are seeking an Azure Cloud Ops Engineer to join our cloud operations function and support the delivery of resilient, scalable, and highly automated cloud platforms. The successful candidate will be responsible for designing and operating cloud infrastructure, implementing Infrastructure as Code, enhancing observability and AIOps capabilities, and driving automation across both application and infrastructure life cycles.

This role combines Cloud Engineering, Dev Ops, SRE, and AIOps practices, leveraging automation, AI-assisted operations, and self-healing capabilities to improve platform reliability, operational efficiency, and service availability.

Key Responsibilities:
  • Design, deploy, and support scalable, resilient, and self-healing cloud infrastructure across Azure and hybrid cloud environments, with exposure to AWS considered beneficial.
  • Define and manage infrastructure using Infrastructure as Code (IaC) tools including Terraform, Helm, Cloud Formation, and Ansible.
  • Build, maintain, and optimise CI/CD pipelines supporting both application and infrastructure deployments.
  • Develop and maintain automation scripts, deployment tooling, and operational workflows.
  • Implement and support observability solutions, monitoring platforms, logging frameworks, and telemetry capabilities.
  • Develop AIOps capabilities for anomaly detection, event correlation, alert noise reduction, and proactive issue identification.
  • Create automated remediation processes, runbooks, and self-healing mechanisms to improve operational resilience.
  • Perform troubleshooting, root cause analysis, and incident resolution across platform and application environments.
  • Analyse operational trends, system telemetry, and performance data to drive continuous improvement initiatives.
  • Collaborate with Product, Engineering, Cloud Ops, and Infrastructure teams to improve reliability, scalability, and operational efficiency.
  • Support cloud platform reliability, observability, security, and operational best practices.
  • Contribute to architectural decisions and operational strategy across cloud and hybrid environments.
  • Essential Skills & Experience
    • 3+ years' experience in Cloud Engineering, Dev Ops, Platform Engineering, Site Reliability Engineering (SRE), or Cloud Operations roles.
    • Strong experience with Microsoft Azure services and cloud infrastructure environments.
    • Strong experience with Terraform is preferred. Experience with Helm, Cloud Formation, or Ansible would be advantageous.
    • Experience building and supporting CI/CD pipelines using Git Lab CI/CD, Azure Dev Ops, or similar tooling.
    • Strong scripting and automation skills using Power Shell, Bash, Python, or other programming languages.
    • Experience administering source control systems such as Git.
    • Experience supporting cloud-based applications and infrastructure in production environments.
    • Practical experience using AI-assisted engineering, automation, or operational tooling.
    • Understanding of AIOps concepts including automated remediation, event correlation, and intelligent monitoring.
    • Exposure to AI agents, agentic workflows, AIOps tooling, or robotic process automation (RPA) concepts.
    • Strong understanding of networking fundamentals including TCP/IP, DNS, routing, firewalls, and network connectivity.
    • Strong problem-solving, troubleshooting, and analytical skills.
    • Excellent communication and stakeholder management skills.
    Desirable Experience
  • Experience supporting Kubernetes, Docker, and microservices-based environments.
  • Experience operating hybrid cloud and on-premise infrastructure.
  • Experience implementing observability platforms such as Splunk, Datadog, Grafana, Prometheus, Dynatrace, or similar…
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