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Site Reliability Engineer

Job in Sheffield, South Yorkshire, S5, England, UK
Listing for: Caspian One
Full Time position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Azure
Salary/Wage Range or Industry Benchmark: 400 GBP Daily GBP 400.00 DAY
Job Description & How to Apply Below
Cloud Infrastructure & Site Reliability Engineer Contract | Sheffield | Hybrid | £400+ p/d

We are hiring a Cloud Infrastructure & Site Reliability Engineer to support and enhance a large-scale cybersecurity data lake and analytics platform. This role sits within a global Platform & Data Engineering team and focuses on cloud infrastructure, platform engineering, and operational reliability in Azure.

The position is hands-on and suited to engineers with strong cloud foundations, experience supporting production environments, and the ability to work across data, infrastructure, and platform operations.

Key Responsibilities
  • Operate, maintain, and improve an enterprise-scale Azure cybersecurity data platform.
  • Build and manage Azure landing zones/work spaces for secure application deployment.
  • Integrate and configure cloud services including IAM, monitoring, OS, containers.
  • Support CI/CD pipelines and continuous testing activities.
  • Provide day-to-day troubleshooting across the Azure tenant and platform.
  • Ensure platform reliability, resiliency, compliance, and operational risk alignment.
  • Maintain documentation, runbooks, and operational artefacts.
  • Collaborate with cloud service teams and internal stakeholders to gather requirements.
Skills & Experience
  • Experience with SRE principles and Azure Dev Ops.
  • Linux administration (preferably Red Hat).
  • Understanding of OS internals, storage, CPU architectures, and network fundamentals.
  • Hands-on experience building and supporting Azure infrastructure at scale.
  • Familiarity with high-availability web infrastructure (proxies, reverse proxies).
  • Knowledge of data governance, quality, and controls.
  • Experience with IAM, cloud compliance, monitoring, and auditing tools.
  • Strong troubleshooting skills across cloud, services, and application stacks.
  • Exposure to Azure Data Factory, Databricks, Functions, Kubernetes Service, Logic Apps, Monitor, Log Analytics, Synapse, PowerBI.
Background
  • Degree in Computer Science, Software Engineering, Data Science, or STEM preferred.
  • Candidates without a degree will be considered with relevant experience or certifications.
  • Experience in regulated industries (e.g., Financial Services) beneficial.
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