Cloud Platform Engineer (Site Reliability and Observability)

Arden University

5d•Remote

About The Position

The Cloud Platform Engineer (Site Reliability and Observability) builds and operates the cloud platforms underpinning Arden University’s digital services. Working across AWS, Google Cloud and Microsoft Azure, the role helps deliver secure, scalable and cost-effective infrastructure, strengthen automation, and improve the tools and capabilities that enable engineering teams to deliver reliable services. The role also contributes to embedding Site Reliability Engineering (SRE) practices across the Cloud Platform team. It includes developing monitoring and alerting, improving incident response, validating recovery processes, and automating repetitive tasks to turn operational insights into practical service improvements. The engineer works closely with cloud engineering, security, service management and application teams to promote reliability, continuous improvement and shared ownership. The position is within the Technology Department, which supports employees and students through technology, project delivery and IT operations. The role operates primarily remotely, with little to no travel expected to the Coventry head office or other campuses. The working arrangement is a non-contractual benefit, and an Arden work location is included in employment contracts. Arden cannot sponsor skilled worker visas for this role.

Requirements

Substantial experience building, supporting and improving production cloud infrastructure and platform services across AWS, Google Cloud or Azure.
Practical experience operating Kubernetes or equivalent container platforms, including deployments, networking, storage, workload health and troubleshooting.
Strong skills in Terraform, reusable Infrastructure as Code modules, Git and CI/CD pipelines, including controlled, versioned and peer-reviewed infrastructure changes.
Proficiency in Bash or Python automation.
Practical knowledge of Linux, IP networking, DNS, identity and access management, secrets management and least-privilege security.
Experience implementing observability through metrics, logs, tracing, dashboards, actionable alerting and service-health reporting.
Understanding of SRE practices, including SLIs/SLOs, availability, capacity planning and reducing recurring failures.
Experience investigating production incidents, conducting root-cause analysis and implementing preventative measures or automated remediation.
Experience with backup and restore, disaster recovery and resilience testing, including validating recovery procedures.
Experience developing operational runbooks and following established service management and support processes.

Nice To Haves

Relevant certifications in AWS, Google Cloud, Microsoft Azure, Kubernetes or SRE.
Experience operating across multiple cloud providers, particularly AWS and Google Cloud, including cloud networking, identity, compute, container platforms and monitoring.
Familiarity with OpenTelemetry, Grafana, Prometheus and Loki, or equivalent observability technologies.
Knowledge of SRE practices, including error budgets, incident reviews, operational readiness and reducing repetitive operational work.
Experience with Kubernetes cluster upgrades, scaling, node health, storage management and disaster recovery.
Understanding of cloud cost optimisation, including cost allocation, budgets, resource tagging and right-sizing.
Experience with cloud landing zones, project onboarding, platform handover, developer self-service or policy-as-code.
Exposure to production data, integration, generative AI or Agentic AI platforms, including operational telemetry, secure service connectivity and managed agent runtimes.

Responsibilities

Build, support and improve cloud infrastructure and platform services across AWS, Google Cloud and Microsoft Azure.
Operate container platforms, including Kubernetes, and support deployments, networking, storage, workload health and troubleshooting.
Develop automation and reusable Infrastructure as Code modules, and deliver controlled, versioned and peer-reviewed infrastructure changes.
Implement observability using metrics, logs, tracing, dashboards, actionable alerts and service-health reporting.
Help embed SRE practices, including service-level indicators and objectives, availability, capacity planning and reducing recurring failures.
Investigate production incidents, conduct root-cause analysis and implement preventative measures or automated remediation.
Support backup and restore, disaster recovery and resilience testing, including validation of recovery procedures.
Develop operational runbooks and follow established service management and support processes.
Collaborate with cloud engineering, security, service management and application teams to improve reliability and shared ownership.