Platform Engineer- SDET, Kubernetes- Skylar AI Platform

Science Logic
Hyderabad
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Cross-functional collaboration","Proactive issue identification","Technical documentation","Knowledge sharing","Debugging"]

Build and maintain the Skylar AI Platform lab and end-to-end testing system that supports monthly software updates. You’ll automate deployment pipelines, simulate real user journeys, and create regression and performance gates using CI/CD and test frameworks. Partner across Product Engineering, Product Management, Data Science, Quality, and Engineering to validate third-party integrations, generate telemetry, keep versions current, and document environment processes while ensuring reliable rollbacks after failed deployments.

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FursaFursa
Science Logic
Science Logic
2 months ago

Platform Engineer- SDET, Kubernetes- Skylar AI Platform

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and maintain the Skylar AI Platform lab and end-to-end testing system that supports monthly software updates. You’ll automate deployment pipelines, simulate real user journeys, and create regression and performance gates using CI/CD and test frameworks. Partner across Product Engineering, Product Management, Data Science, Quality, and Engineering to validate third-party integrations, generate telemetry, keep versions current, and document environment processes while ensuring reliable rollbacks after failed deployments.
Location: Hyderabad
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Deploy and maintain a lab environment for development, testing, and staging across multiple environment types.
  • •Automate deployment pipelines so tests validate builds on every commit and staging matches production.
  • •Create end-to-end cross-system workflows from ingestion through Skylar AI processing to telemetry and reporting dashboards.
  • •Simulate user journeys and maintain regression prevention test suites to catch breaks and broken functionality.
  • •Validate system reliability by running integration tests, performance gates, and rollback validation after failed deployments.

Key Requirements

  • •Build and integrate REST/GraphQL APIs with strong automation development skills using Node.js and/or Python.
  • •Develop full-stack debugging and troubleshooting capabilities, including JavaScript/TypeScript frontend development.
  • •Design test data generation/management and CI/CD pipeline automation, including GitHub and GitOps workflows.
  • •Use test automation frameworks such as Playwright and support load/performance testing with tools like k6 or jmeter.
  • •Operate with Docker and Kubernetes fundamentals and use observability/telemetry tools (e.g., Prometheus, Grafana) to validate platform performance and reliability.
Skills:Cross-functional collaborationProactive issue identificationTechnical documentationKnowledge sharingDebugging
Tech Stack:RESTGraphQLNode.jsPythonJavaScriptTypeScriptGitHubGitOpsPlaywrightK6JmeterDockerKubernetesPrometheusGrafanaOpenTelemetryServiceNowLLM APISkylarOneSkylar

Company Brief

Science Logic
Provides an AI-driven IT operations management (ITOM) platform that delivers monitoring, event correlation, and automation to help enterprises detect, diagnose, and resolve infrastructure and application issues across hybrid and multi-cloud environments.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Reston, United States
Founded: 2003
WebsiteLinkedIn