Site Reliability Engineer

Position Description:

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

What you can expect from us: