Observability Implementation Engineer

Our client is a a high-growth AI-driven observability company seeking an Observability Implementation Engineer to support a major enterprise customer through a large-scale migration from a legacy observability platform. This role blends hands-on technical work with customer-facing collaboration to ensure smooth adoption, efficient troubleshooting, and long-term platform success.

Key Responsibilities

Customer Support

• Provide daily technical guidance to customer teams.
• Build dashboards, alerts, and datasets; answer platform questions; support onboarding and ongoing usage.
• Escalate issues appropriately and participate in internal and customer-facing meetings.

Data Migration & Integration

• Lead migration from legacy tooling, including transforming dashboards, queries, alerting rules, and data structures.
• Convert legacy query languages into the new platform's syntax while ensuring data continuity and accuracy.

Enablement & Training

• Deliver hands-on training on platform features, query language, and troubleshooting workflows.
• Create tailored training materials and guide teams in leveraging AI-assisted observability capabilities.

Cross-Functional Collaboration

• Partner with engineering and customer success teams to document issues, manage Jira tickets, and maintain clear technical narratives.
• Support war rooms and incident-related sessions as needed.

Required Qualifications

• 3+ years of experience with enterprise observability platforms (ELK preferred; others beneficial).
• Strong experience with AWS, GCP, or Azure, plus Kubernetes or other containerized environments.
• Proficiency in search and query languages (KQL, PromQL, SPL, Lucene, Elasticsearch DSL, etc.).
• Understanding of OpenTelemetry standards, metrics, logs, traces, and observability best practices.
• Experience with APIs, Infrastructure as Code, and data ingestion workflows.
• Excellent communication and documentation skills across technical and non-technical audiences.

Preferred Qualifications

• Degree in Computer Science, Engineering, or related field, or equivalent hands-on experience.
• Certifications across cloud, observability platforms, or Kubernetes/Terraform.

Location & Travel

• UK based, with up to 50 percent onsite support.
• Preference for candidates near Manchester, Northampton, or Radbroke.
• Flexibility for collaboration across US and UK time zones.