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Mid-level, generalist Platform Engineer in Hyderabad with broad skills and hybrid work attracts many applicants.
Kubernetes, CI/CD, and observability are transferable, but AI-platform and ServiceNow specifics increase domain specificity.
Explicit 5-8 year requirement plus Kubernetes, CI/CD, and automation skills increase filtering to medium.
Manage deployment and maintenance of a lab environment for development, testing, and staging for the Skylar AI platform.
Develop and maintain automated deployment pipelines and extensive test suites covering end-to-end workflows, regression, integration, performance, and rollback validation.
Enable cross-functional teams by ensuring platform availability and continuous monthly software updates with clear status tracking and issue resolution.
5-8 years of relevant work experience in platform engineering or related roles.
Proficiency in Node.js and/or Python for automation development; experience with API integration (REST/GraphQL).
Experience with CI/CD pipeline automation using tools like GitHub and GitOps, including test automation frameworks (e.g., Playwright).
Familiarity with Docker, Kubernetes, monitoring/observability tools (e.g., Prometheus, Grafana), and test data generation and management.
Experienced in managing complex automated test pipelines for AI-powered or cloud-native platforms with frequent release cycles.
Hands-on with cross-functional collaboration including product management, data science, and engineering to maintain platform stability and performance.
Comfortable with telemetry systems, ServiceNow ticketing and incident management, and applying AI-based debugging or validation methods.