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# Solutions Architect

- **Company:** Imagine Staffing Technology, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $89,440.0 - $145,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Integration Architecture, Microsoft Azure, Monitoring of Systems, Software Architecture, Systems Development Life Cycle, Reliability Engineering, Software Engineering, Physical Design
- **Published:** June 25, 2026
- **Apply:** https://www.dice.com/job-detail/7d246139-7b73-4053-96b9-a8b3c199377c

## About the Role

* Bachelors degree and 7 years of relevant work experience, or in lieu of a degree, a combined minimum of 11 year''s higher education and/or relevant work experience
 * 7 or more years of experience in developing and integrating applications using relevant software architecture principles and patterns
 * Working knowledge of architectural frameworks
 * Working knowledge of enterprise architecture tools
 * Work experience in software engineering, software delivery and/or solution architecture

## Description

In this role, you will be responsible for acting as the solution architecture extension of EA - Infrastructure, translating enterprise conceptual, logical, and high-level physical observability and telemetry architectures into detailed physical design guidance for platforms and applications. Guides and supports engineering teams in establishing end-to-end observability capabilities, ensuring alignment with EA-defined infrastructure, SRE, and telemetry standards across Azure cloud and co-location environments.
Role & Responsibility:

 * Provides architecture guidance for telemetry design and instrumentation, including logs, metrics, traces, and event streams aligned to enterprise patterns
 * Observability architecture, ensuring consistent visibility into system health, performance, and business-critical workflows
 * Integration with enterprise monitoring and alerting platforms, enabling centralized and standardized operational insight
 * AI and platform observability, including visibility into model usage, performance, and risk indicators *
 * Data correlation and analysis patterns, enabling faster root cause analysis and operational decision-making Supports the adoption of SRE-aligned observability practices, including definition and operationalization of SLIs, SLOs, and error budgets
 * Monitoring strategies supporting reliability and performance objectives
 * Alerting and incident response integration aligned with operational readiness frameworks Partners with engineering teams throughout the SDLC-from design through production, providing oversight, guiding implementation decisions, and ensuring solutions meet enterprise standards for visibility, reliability, and operational effectiveness.
 * Collaborates closely with EA, infrastructure, SRE, and platform engineering teams to ensure consistent adoption of enterprise observability patterns, while feeding implementation insights back into the continuous evolution of architecture standards.


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