> Markdown version of [/jobs/ext/3858945-senior-site-reliability-engineer-south-east-london](https://www.wearedevelopers.com/jobs/ext/3858945-senior-site-reliability-engineer-south-east-london). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Site Reliability Engineer - South East London - **Company:** Spectrum IT Recruitment - **Location:** London, UK (Remote available) - **Experience:** Expert - **Salary:** £65,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Bash Shell, Cloud Computing, Linux, DevOps, Domain Name System (DNS), Monitoring of Systems, Python (Programming Language), Linux System Administration, Networking Basics, Reliability Engineering, Prometheus, TCP/IP, Datadog, Scripting, Load Balancing, Cloud Platform System, Grafana, Kubernetes, Cloudwatch, Terraform, Splunk, Docker - **Published:** October 22, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5928847356 ## About the Role * Experience in a Site Reliability Engineering, Production Engineering, Cloud Operations, or NOC environment * Exposure to Linux systems administration * Exposure to AWS cloud infrastructure * Exposure to Kubernetes and Docker * Experience with production support and incident management * Scripting experience in Python, Bash, or Go * Familiarity with monitoring and observability platforms such as Grafana, Prometheus, Datadog, Splunk, or CloudWatch * Understanding of networking fundamentals including DNS, TCP/IP, and load balancing * A passion for automation, continuous improvement, and operational excellence * Experience with Infrastructure as Code such as Terraform, SRE principles such as SLIs and SLOs, or regulated environments is beneficial but not essential ## Description * Monitor and maintain highly available production platforms running in AWS * Respond to and manage production incidents across a 24/7 service * Investigate complex technical issues and restore services quickly and effectively * Develop automation to reduce manual operational tasks and improve platform resilience * Build and improve monitoring, alerting, and observability across cloud environments * Work alongside Software, Platform, Cloud, and Security Engineers to improve reliability and operational excellence * Contribute to post-incident reviews and drive continuous service improvements * Support containerised workloads using Kubernetes and Docker Technologies: * AI * AWS * Bash * Cloud * CloudWatch * Datadog * Docker * Grafana * Support * Kubernetes * Linux * Load Balancing * Prometheus * Python * Security * Splunk * TCP/IP * Terraform * DevOps