Senior Telemetry Engineer: Azure Observability & KQL

BrickRed Systems; Redmond (WA); On-site; USD 140,000 - 190,000; Full time

Job summary

BrickRed Systems seeks a Senior Engineer – Telemetry to build, analyze, and troubleshoot telemetry across complex Azure environments. You will investigate incidents, reconstruct customer journeys, and produce reproducible evidence while collaborating with engineering, DevOps, security, and product teams.

Proficiency in C#/.NET, KQL, and Azure monitoring is essential. The role emphasizes advanced telemetry analysis, cross-service troubleshooting, and implementing robust observability and incident

Qualifications

• Strong experience as a Senior Software Engineer, Telemetry Engineer, Observability Engineer, or similar technical role.
• Advanced proficiency in Kusto Query Language (KQL).
• Hands-on experience with Geneva, Azure Monitor, Application Insights, distributed logging, monitoring, and alerting.
• Proven experience investigating production incidents and cross-service failures in distributed environments.
• Strong modern C# and .NET development experience in a C# 14/.NET 10 repository.
• Experience with Azure DevOps, Git, YAML pipelines, service connections, work items, and execution artifacts.
• Strong understanding of REST APIs, Entra ID authentication, managed identity, workload identity federation, and Azure Key Vault.
• Experience using AI/agentic development tools such as GitHub Copilot, Claude, or equivalent.
• Ability to design structured and reusable agent workflows, including tool integration, validation, safety controls, and human-review mechanisms.
• Excellent written communication and ability to independently document technical findings and evidence.
• Strong understanding of privacy, security, data protection, and least-privilege principles when working with telemetry and customer data.

Responsibilities

• Analyze complex telemetry using advanced Kusto Query Language (KQL) to identify trends, anomalies, failures, and performance issues.
• Work extensively with Geneva, Azure Monitor, Application Insights, distributed logging, monitoring, and alerting.
• Investigate production incidents and perform cross-service troubleshooting across distributed systems.
• Reconstruct customer journeys and failure timelines using telemetry and customer-related evidence.
• Develop and maintain modern C#/.NET applications, including working in C# 14/.NET 10 codebases.
• Work with Azure DevOps, including work items, Git workflows, YAML pipelines, service connections, and execution artifacts.
• Build and troubleshoot REST APIs and cloud-native integrations using Entra ID, managed identities, workload identity federation, and Azure Key Vault.
• Leverage agentic development tools such as GitHub Copilot, Claude, or equivalent AI coding/engineering tools.
• Design reusable agent workflows using SKILL.md instructions, MCP/tool integrations, validation frameworks, safety boundaries, and human-review checkpoints.
• Partner with engineering and operations teams to improve observability, reliability, alerting, and incident response.
• Produce clear, reproducible technical evidence and documentation with limited supervision.
• Ensure telemetry and customer-related evidence are handled according to privacy, security, compliance, and least-privilege requirements.

Skills

KQL

Telemetry analysis

C#/.NET

Incident investigation

Observability

Azure monitoring

REST APIs

AI/agentic tools

Documentation

Tools

Geneva

Azure Monitor

Application Insights

Git

YAML pipelines

Service connections

Azure Key Vault

Job description

BrickRed Systems seeks a Senior Engineer – Telemetry to build, analyze, and troubleshoot telemetry across complex Azure environments. You will investigate incidents, reconstruct customer journeys, and produce reproducible evidence while collaborating with engineering, DevOps, security, and product teams.

Proficiency in C#/.NET, KQL, and Azure monitoring is essential. The role emphasizes advanced telemetry analysis, cross-service troubleshooting, and implementing robust observability and incident