Senior Site Reliability Engineer

VIQU Ltd
Birmingham, United Kingdom
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 75K

Job location

Birmingham, United Kingdom

Tech stack

Microsoft Windows
Artificial Intelligence
Application Performance Management
Azure
Software as a Service
Cloud Computing
Linux
DevOps
Linux System Administration
Reliability Engineering
Prometheus
Virtual Machines
Datadog
Grafana
Mttr
Kubernetes
Terraform

Job description

  • Use technologies such as Terraform and Kubernetes to provision and configure servers and networks, and to automate application lifecycles
  • Use Datadog and other observability tools to monitor application performance
  • Implement new ways of working and help shape how the organisation responds to and recovers from incidents
  • Take ownership of incident resolution
  • Help reduce key reliability metrics including MTTR, incident frequency, and on-call toil
  • Work on an on-call rota and respond to incidents during assigned periods
  • Identify opportunities for automation and help implement changes that improve reliability

Technologies:

  • AI
  • Azure
  • Cloud
  • Datadog
  • DevOps
  • Grafana
  • Support
  • Kubernetes
  • Linux
  • Prometheus
  • Terraform
  • Windows

Requirements

  • Previous experience as a Site Reliability Engineer or in a similar cloud, infrastructure, DevOps, or platform engineering role within a customer-facing environment such as SaaS or MSP
  • Strong hands-on experience with Azure and on-premise virtual machines
  • Experience with Infrastructure as Code and Terraform
  • Experience with container orchestration such as Kubernetes or AKS
  • Experience with monitoring and observability tooling such as Prometheus, Grafana, Datadog, or Azure Monitor
  • Ability to implement new processes and tools and drive adoption across development and support teams
  • Strong communication skills across internal teams and external customers
  • Skilled in networking across both cloud and on-premise environments
  • Windows or Linux systems administration skills, with Linux preferred
  • Previous use of AI tools to improve efficiency

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