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Mid-level platform role, metro location, and broad generalist skillset increases candidate competition.
Core devops and platform skills transferable, but AI platform and ServiceNow knowledge add moderate domain bias.
Explicit 5-8 years requirement plus broad mandatory cloud, CI/CD, and observability skills.
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Maintain and update the Skylar AI Platform monthly, ensuring lab environments are always available for development and testing.
Own deployment pipelines including automated testing on every code commit to validate builds and environment consistency.
Enable cross-team usage by managing environment setups, telemetry data generation, integration testing, and up-to-date documentation.
5-8 years of relevant work experience in platform engineering or similar roles.
Proficiency in Node.js and/or Python for automation development; experience with JavaScript/TypeScript frontend development.
Experience with CI/CD pipeline automation tools such as GitHub and GitOps.
Familiarity with Docker, Kubernetes, and monitoring tools like Prometheus and Grafana.
Experienced in end-to-end testing and automation in complex AI-powered observability platforms.
Comfortable working cross-functionally with product management, data science, quality assurance, and engineering teams.
Skilled in integrating and debugging telemetry, LLM APIs, and ITSM workflows within Agile DevOps environments.