Observability Engineer

We are seeking a highly skilled Observability Engineer to join our Cloud Observability – Customer Solutions & Integrations Engineering (CSIE) team. The ideal candidate has strong experience in cloud-native observability, system integrations, and distributed systems, and is comfortable working closely with internal customers and cross-functional engineering teams to deliver scalable, reliable, and data-driven observability solutions across multi-cloud environments.

Responsibilities:

• Lead customer onboarding and technical enablement for Cloud Observability services across multi-cloud environments.
• Design, build, and maintain scalable telemetry and observability integrations across logs, metrics, and traces.
• Translate customer and business requirements into robust, cloud-native observability solutions.
• Implement and support telemetry pipelines for ingestion, transformation, enrichment, filtering, and routing of observability data.
• Work with tools such as OpenTelemetry, Logstash, OpenSearch/Elasticsearch to ensure reliable data flow and observability coverage.
• Validate end-to-end telemetry routing, data quality, and pipeline correctness across environments.
• Support go-live readiness activities, including dry runs, operational readiness checks, and post-deployment validation.
• Participate in on-call rotations and provide production support for Cloud Observability services.
• Troubleshoot complex issues across distributed systems, including ingestion failures, missing telemetry, and pipeline degradation.
• Collaborate closely with Product Management, Engineering, DevOps, and Operations teams.
• Maintain technical documentation, runbooks, and integration guides.
• Manage requests and delivery tasks using ServiceNow and Jira.
• Contribute to continuous improvement of observability platforms and adoption of AI-assisted engineering practices.

Requirements:

• 5+ years of experience in backend engineering, DevOps, platform engineering, or observability engineering roles.
• Strong experience with cloud-native architectures and distributed systems.
• Hands-on experience with Kubernetes (Pods, Deployments, Services, ConfigMaps, Secrets).
• Strong understanding of REST APIs, webhooks, authentication mechanisms (OAuth, tokens, mTLS).
• Experience with CI/CD pipelines and Git-based workflows (GitHub/GitLab, pull requests, branching strategies).
• Experience working with observability platforms such as OpenSearch or Elasticsearch (indexing, queries, dashboards, ingestion pipelines).
• Solid understanding of telemetry concepts: logs, metrics, traces, and OpenTelemetry principles.
• Experience with data pipelines and ETL processes (parsing, transformation, enrichment, filtering, routing).
• Experience debugging distributed systems and troubleshooting production issues.
• Familiarity with cloud providers (AWS, Azure, or GCP).
• Strong problem-solving skills and ability to work in fast-paced, customer-facing environments.
• Excellent communication and stakeholder management skills.

Nice to have / Preferred Qualifications:

• Experience with Python (OOP), especially for automation or integration tasks.
• Experience with GitHub Actions or other CI/CD automation tools.
• Familiarity with ServiceNow and Jira workflows.
• Experience in production support or SRE-style on-call environments.
• Familiarity with OpenTelemetry Collector architecture and pipelines.
• Experience with AI-assisted engineering tools (e.g., GitHub Copilot, Claude Code, etc.).
• Knowledge of multi-tenant or large-scale enterprise observability systems.
• Strong technical documentation and knowledge-sharing abilities.
• Experience in SAP or large enterprise cloud environments.

Additional Technical Requirements:

• Observability pipelines: Hands-on experience designing and maintaining log/metric/trace ingestion pipelines.
• Data processing: Strong understanding of transformation, enrichment, normalization, and validation of telemetry data.
• System troubleshooting: Ability to trace issues across distributed systems and identify root causes in ingestion or routing layers.
• Kubernetes-based deployment models for observability services.
• Familiarity with high-volume telemetry systems and performance considerations.
• Understanding of alerting frameworks and event correlation concepts.
• Ability to ensure data quality, consistency, and reliability across observability platforms.

About Computacenter

Computacenter is a leading independent technology and services provider, trusted by large corporate and public sector organisations. We are a responsible business that believes in sustainable long-term value creation.

We help our customers to source, transform and manage their technology infrastructure to deliver digital transformation, enabling people and their businesses.

Computacenter plc is a public company quoted on the London Stock Exchange (CCC.L) and a member of the FTSE 100. Computacenter employs over 21,000 people worldwide.