Senior Technology Engineer (Operations / AI & Observability)
About The Position
We are seeking a Senior Technology Engineer with a strong developer mindset and experience across AI, observability, and infrastructure operations. This role is responsible for supporting and enhancing monitoring and event management platforms while helping drive the integration of AI-driven automation across operational systems. This position blends hands-on systems administration, observability platform ownership, and emerging AI capabilities to improve signal quality, reduce operational friction, and accelerate incident response. The ideal candidate is comfortable working across traditional infrastructure and modern AI-enabled tooling.
Requirements
- 4–5+ years of experience in infrastructure operations, observability, or platform engineering
- Strong developer mindset with experience in scripting and automation (PowerShell, Python, Bash, etc.)
- Hands-on experience supporting Linux and Windows environments
- Experience with monitoring/observability tools (SolarWinds, Datadog, Dynatrace, or similar)
- Familiarity with AI tools and platforms (e.g., Copilot, ChatGPT, Anthropic/Claude) and their application in operational workflows
- Experience with Microsoft Azure and cloud-based monitoring concepts
- Foundational networking knowledge (SNMP, telemetry, network monitoring concepts)
Nice To Haves
- Exposure to SIEM/security platforms (Azure Sentinel, Cribl, or similar)
- Experience working in Dev workflows (GitHub, CI/CD, code reviews)
- Familiarity with Agile/SAFe methodologies
- Experience with hybrid cloud environments and Azure AD
Responsibilities
- Design, develop, and support AI-driven solutions to enhance monitoring, alerting, and incident response workflows
- Leverage tools such as Copilot, ChatGPT, and Anthropic (Claude) to build and optimize automation and operational efficiencies
- Partner with internal AI governance teams (AICOE) to align with standards and best practices
- Contribute to long-term initiatives enabling cross-platform AI integration and automation
- Support and maintain platforms such as SolarWinds, Datadog, Dynatrace, and Opsgenie (or similar)
- Ensure platform health, upgrades, patching, and onboarding of new systems/devices
- Improve alert quality, signal-to-noise ratio, and event routing accuracy
- Collaborate with platform owners to enhance integrations and monitoring coverage
- Provide hands-on support for Linux and Windows servers
- Perform agent deployments, upgrades, and troubleshooting
- Support monitoring/logging enablement across hybrid environments (on-prem + cloud)
- Work within Microsoft Azure environments, supporting monitoring and logging capabilities
- Utilize tools such as Azure Monitor and Log Analytics
- Ensure visibility and observability for cloud-hosted workloads
- Exposure to SIEM platforms such as Azure Sentinel and Cribl
- Support log ingestion, troubleshooting, and collaboration with security teams
- Help align monitoring data with security detection requirements
- Contribute to documentation, runbooks, and operational best practices
- Identify incremental improvements to reduce repeat incidents and manual effort
- Participate in knowledge transfer and platform lifecycle activities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
