Site Reliability Engineer in England

A market-leading consultancy is looking for a Site Reliability Engineer to support an AWS-hosted data platform, working across reliability, observability, automation and operational excellence. This role would suit an SRE, DevOps Engineer or Platform Engineer with strong AWS experience, hands-on Kubernetes/EKS exposure, and a good understanding of observability, monitoring and incident management.

The successful contractor will help define and operationalise SLIs, SLOs and error budgets across critical data services, ensuring the platform is reliable, scalable and well-monitored. Public sector experience is highly desirable, and SC clearance is preferred but not required.

• You will define and operationalise SLIs, SLOs and error budgets for critical data services and platform components.
• You will build and maintain observability dashboards and monitoring frameworks using tools such as Dynatrace, Prometheus and associated monitoring/logging/tracing platforms.
• You will implement end-to-end monitoring across metrics, logs and traces, helping the team detect issues proactively before they impact users.
• You will work across the AWS ecosystem, supporting workloads running on EKS / Kubernetes.
• You will collaborate closely with developers, architects and platform teams to improve reliability, scalability, performance and operational resilience.
• You will support incident response, root cause analysis and blameless post-mortems, helping drive long-term improvements rather than short-term fixes.
• You will automate repetitive operational tasks to reduce toil and improve platform efficiency.
• You will help establish and track the key golden signals: latency, traffic, errors and saturation.
• You will contribute to reliability and resilience backlogs, helping identify improvements across monitoring, alerting, automation and platform stability.

• Strong commercial experience as an SRE, DevOps Engineer, Platform Engineer or Cloud Engineer.
• Strong AWS experience, ideally within production-scale environments.
• Hands-on experience with Kubernetes, ideally Amazon EKS.
• Experience with observability and monitoring tools such as Dynatrace, Prometheus, Grafana, CloudWatch, OpenTelemetry, ELK or similar.
• Understanding of SLIs, SLOs, error budgets and golden signals.
• Experience supporting incident management, root cause analysis and post-incident improvement work.
• Automation experience using scripting or IaC tooling such as Terraform, Python, Bash, Ansible or similar.
• Good understanding of platform reliability, scalability, resilience and performance.

• Experience working with data platforms, data pipelines or data-heavy environments.
• Exposure to batch or streaming data workloads, such as Kafka, Spark, Airflow, Glue, EMR, Databricks or similar.
• Data observability experience.
• Previous public sector experience across multiple engagements.
• Active or lapsed SC clearance.
• Consultancy experience would be beneficial, especially within environments such as Capgemini, Accenture, BJSS, Kainos, Sopra Steria, CGI, PA Consulting, Leidos, BAE Digital Intelligence, Deloitte, Cognizant or similar.