Job Ref #: Col_04
Industry: Management Consulting
Job Type: Permanent
Positions Available: 1

Job Description

This is a versatile role that bridges cloud infrastructure, automated delivery pipelines, production observability and first-line support operations across our multi-tenant client ecosystem. It suits an engineer who enjoys both sides of platform work: building the automation and monitoring that keeps systems healthy, and being the person who responds when something goes wrong. You will provision environments and improve pipelines, and you will also triage live alerts, work through runbooks and escalate with clean diagnostic data.

Key Responsibilities:

• Provision and maintain cloud environments; build and optimise CI/CD pipelines using GitHub Actions and AWS DevOps tooling.
• Configure uptime monitoring, automated alert routing and operational dashboards in Better Stack and Datadog.
• Act as first-line support for system alerts — diagnosing issues, executing runbooks and escalating with clear triage data.
• Implement AI-assisted monitoring tooling to summarise logs and isolate anomalies during initial service investigations.
• Troubleshoot container health, auto-scaling behaviour and load-balancer configuration.

 

 

Job Requirements

Essential

• Minimum 3 years in DevOps, platform engineering or production systems support.
• Mandatory Docker proficiency.
• Solid experience in CI/CD automation, uptime monitoring, and Linux and networking fundamentals.
• Comfortable working incidents in live production environments.

Advantageous

• Hands-on experience with Better Stack, Datadog or AWS CloudWatch.
• AWS DevOps services and GitHub Actions.
• Experience supporting multi-tenant or client-facing platforms.
• Exposure to AI-assisted observability or log summarisation tooling.