Platform Engineer- Skylar AI Platform
Core
Build and maintain the lab environment, CI/CD pipelines, and automated testing suites for the Skylar AI observability platform to support end-to-end testing, regression prevention, and performance validation.
Role type
Senior Platform Engineer (AI Observability)
Builds
Automated testing infrastructure, CI/CD pipelines, and lab environments for the Skylar AI platform
Domain
IT Operations (AIOps), Cloud Observability, AI Platform Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Node.js, Python, JavaScript/TypeScript, REST/GraphQL, CI/CD automation, Docker, Kubernetes, Playwright, k6/jmeter, OpenTelemetry, ServiceNow, LLM API integration
Preferred skills
Prompt engineering, full-stack debugging, database optimization
Technologies
SkylarOne, Prometheus, Grafana, GitHub, Gitops, ServiceNow, OpenTelemetry
Responsibilities
Deploy and maintain lab environments for development, testing, and staging; automate CI/CD pipelines to validate builds and staging/production parity; execute end-to-end user journey simulations; maintain regression test suites; validate performance metrics (response times, throughput); verify third-party API and database integrations; confirm rollback procedures; manage telemetry generation and data sources; update technical documentation.
Seniority
Mid-Senior, hands-on IC