Development capabilities (must have)
Support hybrid environments spanning on‑prem and Azure infrastructure.
A developer mindset with experience in Dev workflow, PowerShell, etc.
Cloud-Native application development experience in architecting, building, and deploying applications within AWS or Azure, leveraging cloud-native services
Demonstrated 'developer mindset' with the ability to take full ownership of the application lifecycle—from initial code design and CI/CD pipeline automation to proactive production support and iterative feature enhancement.
Automation/ AI development experience (must have)
Proficiency in leveraging Generative AI tools such as GitHub Copilot, ChatGPT, and Anthropic Claude
Demonstrated ability to integrate AI-driven coding assistants
Familiarity with utilizing AI platforms for the rapid prototyping of automation tools and maintaining comprehensive technical documentation
Explore and apply AI‑assisted features within monitoring, event management, and SIEM tools to:
Improve signal quality / reduce alert fatigue
Support faster incident triage
Contribute to documentation, runbooks, and operational improvements focused on small, incremental wins.
Public cloud platforms (must have)
Has experience with Azure and AWS cloud platforms. Have either directly supported or is familiar with Azure‑based monitoring and logging, including:
Azure Monitor and Log Analytics integrations
Observability for Azure‑hosted workloads
Observability & Event Management (should have)
Has experience with tools such as Datadog and Dynatrace. The person will be responsible for collaborating with platform owners to support integrations, data quality, and alerting hygiene.
Assist with event management workflows, ensuring alerts are actionable and routed correctly.
Participate in efforts to reduce alert noise and repeat incidents.
