Observability Architect - Contractor

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Your career here is about believing in yourself and seizing new opportunities and challenges. It’s about expanding your skills and expertise in your current role and preparing yourself for future advancements. That’s why we encourage you to take every opportunity to further your career within our great global team.

Observability Architect - The role will act as a key onsite technical focal point, collaborating with UCB, SIAM, platform and application owners, other service providers, and NTT DATA engineering teams.

The SOW identifies the Observability Architect (L4) role with responsibility for architecture, advanced onboarding, engineering governance, and observability standards.

Please note this is not a direct employment, but an external contractor opportunity.

• Define and evolve the target Observability Platform architecture across infrastructure, cloud, applications, SaaS services, and approved telemetry sources.
• Establish reusable architecture standards and patterns for Metrics, Events, Logs and Traces (M.E.L.T.), telemetry pipelines, integrations, dashboards, alerting, and operational intelligence.
• Lead technical discovery and advanced onboarding of new infrastructure, applications, platforms, and telemetry sources.
• Drive architecture and integration across LogicMonitor, Edwin AI, LogicMonitor APM, Grafana, Prometheus, Loki, and approved Dynatrace capabilities.
• Define and guide OpenTelemetry adoption, telemetry standardization, instrumentation, tagging, correlation, and data-exposure patterns.
• Architect integrations with ServiceNow, CMDB, Service Mapping, Microsoft Entra ID, Azure Monitor, vCenter, DevOps/CI-CD tooling, and approved automation capabilities.
• Provide architecture leadership for application observability, distributed tracing, synthetic monitoring, API/website monitoring, and application telemetry.
• Enable event correlation, anomaly detection, alert enrichment, noise reduction, and AIOps capabilities.
• Identify and architect approved observability-driven automation and remediation use cases.
• Define technical standards for operational dashboards and telemetry visualization.
• Ensure solutions meet applicable scalability, resilience, security, compliance, data-protection, and GxP requirements.
• Facilitate architecture and technical-design workshops and provide clear recommendations on technical dependencies, risks, and design decisions.
• Develop architecture documentation, reusable patterns, onboarding guidance, and knowledge-transfer materials.

• Strong experience designing enterprise observability solutions across hybrid cloud and on-premises environments.
• Deep understanding of metrics, events, logs, traces, telemetry pipelines, alerting, dashboards, correlation, and dependency mapping.
• Experience with enterprise observability/APM platforms and OpenTelemetry.
• Strong knowledge of Microsoft Azure and enterprise infrastructure environments.
• Experience integrating observability with ITSM, CMDB, identity, DevOps, and automation platforms.
• Knowledge of application observability, distributed tracing, synthetic monitoring, event correlation, anomaly detection, and AIOps.
• Understanding of SRE and SLI/SLO-based operational models.
• Experience working across complex multi-provider environments.
• Strong client-facing architecture, workshop facilitation, documentation, and stakeholder communication skills.
• Ability to combine architecture leadership with hands-on technical problem solving.

LogicMonitor | Edwin AI | LogicMonitor APM | Grafana | Prometheus | Loki | Dynatrace | Azure Monitor | OpenTelemetry | ServiceNow | CMDB | Microsoft Entra ID | APIs | DevOps/CI-CD | Automation & Orchestration | AIOps

These technologies and competency areas are identified within the Observability Platform SOW.

Key Competencies

• Architecture and technical leadership
• Strong hands-on engineering mindset
• Client-facing communication
• Systems and dependency thinking
• Engineering governance
• Cross-team and multi-provider collaboration
• Problem solving and risk identification
• Automation and continuous improvement
• Knowledge sharing and technical coaching

Expected Outcomes

The successful candidate will help establish:

• A scalable and resilient enterprise Observability Platform
• Standardized M.E.L.T. and onboarding patterns
• Improved infrastructure, platform, and application visibility
• Stronger event correlation and actionable alerting
• Progressive proactive, predictive, and automation-enabled operations
• Effective integration with UCB’s operational ecosystem
• Sustainable architecture standards and engineering knowledge.

Workplace type:

On-site Working