Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
5-7 years of professional experience in cloud operations, site reliability, platform, or DevOps engineering for production SaaS systems
Demonstrated hands-on depth with a modern observability platform — Datadog strongly preferred — including APM and distributed tracing, log pipelines and indexing controls, dashboards, monitors, and SLOs
Strong scripting and automation ability in PowerShell, with the judgment to write tooling that other engineers can safely operate
Strong knowledge of containers, container orchestration, and the Kubernetes ecosystem, including autoscaling, cluster upgrades, and diagnosing pod-level failures
Production experience with Azure — Kubernetes Service, Azure SQL, Cosmos DB, Redis, Service Bus, Key Vault, and Entra ID — or equivalent depth in another major cloud
Experience with infrastructure-as-code and CI/CD pipeline authoring (Bicep or Terraform; Helm or Kustomize; Azure DevOps preferred)
Proven incident response experience in a customer-facing production environment, including on-call participation and leading post-incident reviews
Experience operating multi-region, multi-tenant systems
Strong knowledge of platform security and operational best practices: secret and key rotation, least-privilege access, and vulnerability remediation
Excellent problem-solving and analytical abilities, with strong written communication for runbooks, incident updates, and technical proposals
Strong communication, and teamwork skills, including the ability to work effectively with legacy systems and their constraints
Experience migrating from a legacy monitoring stack to a consolidated observability platform; relevant Azure, Kubernetes, or Datadog certifications
Competencies
Accountability
Adaptability
AI Curiosity/Innovation
Applied Learning
Business Acumen
Collaboration
Customer Focus
Dealing w/Ambiguity
Decision Making
Driving for Results
Initiating Action
Planning and Organizing
Technical/Professional Knowledge