Site Reliability Engineer

Position Description:

We are seeking an experienced and proactive Site Reliability Engineer (SRE) to join a team supporting multiple data product and platform groups. This role is focused on improving the reliability, scalability, observability, and operational performance of critical data-driven platforms and services across complex production environments.

The successful candidate will work closely with engineering, platform, and support teams to strengthen monitoring and alerting capabilities, improve logging and traceability, troubleshoot production incidents, support deployments, and automate operational processes wherever possible. The environment includes Kubernetes, Helm, the ELK stack, and a strong focus on modern Site Reliability Engineering practices across cloud and platform services.

This is a hands-on technical role suited to someone who thrives in fast-paced operational environments and is passionate about reliability engineering, automation, and continuous improvement. The role requires strong collaboration with both client stakeholders and engineering teams to ensure platform stability, operational excellence, and high service availability

Your future duties and responsibilities:

- Support, maintain, and improve highly available production platforms and services across cloud and containerised environments.
- Manage and support Kubernetes clusters and Helm-based deployments across multiple environments.
- Implement and enhance monitoring, alerting, logging, and observability solutions to improve platform reliability and operational visibility.
- Investigate incidents, analyse logs, identify root causes, and drive timely resolution of production issues.
- Participate in incident response, post-incident reviews, and continuous operational improvement initiatives.
- Automate operational tasks and repetitive support activities to reduce manual effort and improve platform efficiency.
- Work closely with engineering and data platform teams to improve system resilience, scalability, deployment reliability, and operational maturity.
- Develop and maintain operational documentation, support procedures, runbooks, and troubleshooting guides.
- Contribute to reliability engineering practices including proactive monitoring, service health management, and operational readiness.
- Support deployment activities, release processes, and production change management activities.

Required qualifications to be successful in this role:

- Strong commercial experience in Site Reliability Engineering, Platform Engineering, DevOps, or Production Support environments.
- Strong hands-on experience with Kubernetes and Helm in enterprise or production environments.
- Proven experience supporting mission-critical production platforms and operational support functions.
- Strong hands-on experience with the ELK stack (Elasticsearch, Logstash, Kibana) for logging, monitoring, troubleshooting, and operational analysis.
- Demonstrated capability in log analysis, incident investigation, troubleshooting, and root cause analysis.

- Strong understanding and practical experience with core SRE practices including:
Monitoring and alerting
Incident management and response
Root cause analysis and post-incident reviews
Automation and operational improvement
Production support and reliability engineering

-Experience working with data platforms, analytics platforms, or data product teams would be highly advantageous.
- Experience with scripting and automation tools such as Bash, Python, or similar technologies is desirable.
- Exposure to CI/CD pipelines, Infrastructure as Code, and cloud-native environments would be beneficial.
- Strong communication, stakeholder engagement, and collaboration skills.
- Ability to work effectively in fast-paced support environments and manage competing priorities under pressure.

Security Clearance
- Resource must be willing and able to work onsite at the client location five days per week.
- Candidate must already hold current HLC clearance (mandatory requirement).
- Previous experience working within secure, government, defence, or highly regulated environments will be highly regarded.
- Due to client security requirements, only candidates meeting the required clearance criteria will be considered.

#LI-CGISDI

Skills:

• Amazon Elastic Cloud Compute
• Elastic Stack & Elasticsearch
• Helm
• Linux
• BASH
• Kubernetes
• Python
• Windows