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Site Reliability Engineer
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Site Reliability Engineer
Site Reliability Engineer (Contract)
Type: Contract WFH: Fully Remote Rate: £300–400 per day (Inside) Experience level: Around 3–5 years (eligible for more experienced candidates at aligned rates)
A market-leading consultancy seeks a Site Reliability Engineer to support an AWS-hosted data platform, focused on reliability, observability, automation, and operational excellence.
This role suits an SRE, DevOps Engineer, or Platform Engineer with:
- Strong AWS experience
- Hands-on exposure to Kubernetes/EKS
- Proficiency in observability, monitoring, and incident management
The contractor will help define, operationalise, and enforce SLIs, SLOs, and error budgets across critical data services, ensuring a reliable, scalable, well-monitored platform. Public sector experience is highly desirable with SC security clearance preferred (though not essential).
Key Responsibilities
- Define and operationalise SLIs, SLOs, and error budgets for critical data services.
- Build and maintain observability dashboards using tools like Dynatrace, Prometheus, and associated logging/tracing platforms.
- Deploy end-to-end monitoring for metrics, logs, and traces to proactively detect potential disruptions.
- Collaborate with AWS ecosystems, supporting workloads on EKS/Kubernetes.
- Work closely with developers, architects, and platform teams to improve:
- Reliability
- Scalability
- Performance
- Operational resilience
- Lead incident response, root cause analysis, and blameless post-mortems, driving long-term improvements rather than short-term fixes.
- Automate operational tasks, reducing toil and improving platform efficiency.
- Establish and track key golden signals: latency, traffic, errors, saturation.
- Contribute to reliability/resilience backlogs, refining improvements across:
- Monitoring
- Alerting
- Automation
- Platform stability
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Essential Skills
✔ 3–5 years of SRE, DevOps Engineer, Platform Engineer, or Cloud Engineering experience ✔ Strong AWS production-scale environments expertise ✔ Hands-on Kubernetes (especially Amazon EKS) knowledge ✔ Proficiency with observability/monitoring tools such as Dynatrace, Prometheus, Grafana, CloudWatch, OpenTelemetry, ELK ✔ Understanding of SLIs, SLOs, error budgets, golden signals ✔ Experience in incident management, RCA, and post-incident improvement processes ✔ Automation with Bash, Terraform, Python, and Ansible ✔ Strong platform reliability, scalability, resilience, and performance principles
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Desirable Skills
🔹 Data platforms, pipelines, or heavy data workloads exposure 🔹 Knowledge of batch/streaming data tools: Kafka, Spark, Airflow, Glue, EMR, Databricks 🔹 Data observability experience 🔹 Public sector contract experience across multiple engagements 🔹 SC security clearance (active or lapsed) 🔹 Experience in consultancy firms (e.g., Capgemini, Accenture, BJSS, Kainos, Sopra Steria, CGI, PA Consulting, Leidos, BAE Digital Intelligence, Deloitte, Cognizant) is advantageous.
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