Senior SRE (AWS)
VIQU Ltd
Wavendon, UK
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£65,000.0 - £75,000.0
Working hours
Regular working hours
Job source
Tech stack
Microsoft Windows
Artificial Intelligence
Amazon Web Services
Application Performance Management
Microsoft Azure
Software as a Service
Cloud Computing
Linux
DevOps
Monitoring of Systems
Linux System Administration
Reliability Engineering
+7 more
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 automate application lifecycles
- Use Datadog and other observability tools to monitor application performance
- Implement new ways of working and help shape how we respond to and recover from incidents
- Take ownership of incident resolution
- Improve reliability metrics, including MTTR, incident frequency, and on-call toil, by evaluating incidents
- Participate in an on-call rota and respond to incidents during scheduled periods
- Identify automation opportunities and implement changes that improve reliability
Technologies:
- AI
- AWS
- 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 in a customer-facing environment, such as SaaS or MSP
- Strong hands-on experience with AWS and on-premise virtual machines
- Experience with Infrastructure as Code, such as Terraform; container orchestration, such as Kubernetes; and monitoring and observability tools such as Prometheus, Grafana, Datadog, or Azure Monitor
- Ability to implement processes and tools and support adoption of new ways of working across development and support teams
- Ability to communicate with internal teams and external customers
- Networking skills across cloud and on-premise environments
- Windows or Linux systems administration skills; Linux preferred
- Previous use of AI tools to improve efficiency
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