DevOps Engineer in East Kilbride

DevOps Engineer
Start: ASAP
Duration: 6 months
Location: Canary Wharf (2-3 days on site per week)
Rate: Up to £650 /day Inside IR35
Key Responsibilities
- Lead production incident management, major incident response, root-cause analysis, and blameless postmortems.
- Embed reliability practices across the software development lifecycle and define KPIs, SLIs, SLOs, SLAs, and error budgets.
- Drive AI-assisted incident, problem, change, and risk management.
- Automate operational processes, recovery, failover, scaling, and self-healing capabilities.
- Implement Infrastructure as Code, CI/CD pipelines, automated testing, and deployment strategies.
- Build and improve observability across metrics, logs, and traces.
- Design resilient, highly available platforms with fault tolerance, disaster recovery, and multi-region capabilities.
- Investigate complex platform failures, performance bottlenecks, and systemic reliability issues.
Essential Skills & Experience
- Strong experience in SRE, DevOps, or Platform Engineering within large-scale, regulated environments.
- Expertise in on-premise infrastructure and AWS cloud-native architecture.
- Hands-on experience with AWS services including EKS/ECS, Lambda, API Gateway, DynamoDB, Aurora, and S3.
- Observability tools such as Prometheus, Grafana, OpenTelemetry, ELK/EFK, CloudWatch, or Datadog.
- Strong incident management, production support, and operational resilience experience.
- Proficiency in CI/CD, Git, scripting, automation, and IaC tools such as Python, Go, Ansible, and Terraform.
- Demonstrable experience applying agentic AI to observability, incident management, and automated recovery.
- Strong understanding of networking, security, Linux/Unix, and reliability engineering.
- Experience supporting or developing applications using Java, C#/.NET, Python, and databases including SQL Server, Sybase, and PostgreSQL/Aurora.
Desirable Experience
- Financial services or other data-intensive, regulated industries.
- Mission-critical applications and multi-region AWS architectures.
- Chaos engineering, resilience testing, AIOps, and intelligent automation frameworks.
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