Platform Engineer- Automation, Testing,Kubernetes- Skylar AI Platform

About this role

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Skills you'll use

What you'll do

• Lab Creation: Deploy & maintain a lab environment which will be used for development, testing, and staging. This will build on existing lab work that has been done and will support multiple environment types.
• Deployment pipelines: Automated tests trigger on every commit → validate builds → confirm staging matches production
• Cross-system workflows: Test data flowing from ingestion → Skylar AI processing → telemetry capture → reporting dashboards
• User journeys: Simulate real platform usage end-to-end; catch breaks before users do
• Regression prevention: Maintain test suites that catch when new features break existing functionality
• Performance gates: Automated testing validates response times, throughput, and resource consumption
• Integration testing: Verify third-party APIs, databases, and services work correctly together
• Rollback validation: Tests confirm systems safely recover after failed deployments
• Keeping Versions Current: Setting up and keeping Skylar One/Advisor/Analytics (Dev + Stable), and other data sources current, operating, and in sync.
• Data Generation: Setup and maintain telemetry generation whether from existing sources such as SkylarOne or workload simulations

Who can apply

• Core Programming & API
• API use and integration, REST/GraphQL principles
• Node.js and/or Python with a focus on automation development
• Full-stack debugging and troubleshooting
• ·JavaScript/TypeScript frontend development to be able to work with our front end teams
• Test data generation and management
• CI/CD pipeline automation (GitHub, Gitops, etc)
• Test automation frameworks (Playwright)
• Load/performance testing tools (k6, jmeter, etc)
• Infrastructure & DevOps

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