About ScienceLogic…
ScienceLogic is redefining IT operations for the up-to-date enterprise. Our AIOps platform empowers organizations to achieve Autonomic IT — where systems are self-healing, self-optimizing, and seamlessly aligned with business outcomes. We help enterprises and service providers gain unified visibility across hybrid and multi-cloud settings, automate workflows, and unlock performance at scale.
We’re accelerating digital transformation through the power of automation, AI, and analytics — giving IT and business leaders the tools to deliver superior customer experiences, drive efficiency, and innovate with confidence.
Role Overview-
We are seeking a passionate and capable Platform Engineer with experience of 5- 8 years to be part of our Skylar AI Platform team - our next-generation AI-powered observability platform. This role is key to ensuring we maintain regular software updates on a monthly cadence to our Skylar AI platform. You will ensure that the lab environment is always available to the engineering team.
You will be the go-to person in Product Engineering for End-to-End testing on Skylar AI, using AI to help solve problems, resolve tickets, and provide transparent status updates. You'll enable Product Management, Data Science, Quality, and Engineering teams to use the platform to verify and test as much as possible.
Responsibilities
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 funct