Back
Popular mid-level fullstack role in a metro with broad cross-stack and DevOps requirements increases competition.
Core fullstack and DevOps skills are transferable, but observability and ITSM requirements raise domain sensitivity.
Multiple mandatory platform, DevOps, and AI skills increase shortlisting rigor despite no explicit years requirement.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Maintain and update the Skylar AI Platform with monthly software releases ensuring lab environment availability for development and testing.
Develop and manage automated deployment pipelines and comprehensive end-to-end testing workflows to validate platform stability and performance.
Collaborate across Product Management, Data Science, Quality, and Engineering teams to support testing, debugging, telemetry generation, and documentation upkeep.
Experience required: Not explicitly mentioned in the JD.
Technical skills: Expertise with Node.js/Python, JavaScript/TypeScript frontend, REST/GraphQL APIs, CI/CD automation, test frameworks (e.g., Playwright), Docker, Kubernetes, monitoring tools (Prometheus, Grafana), database optimization, and AI platform knowledge (LLM API consumption, prompt engineering).
Familiarity with telemetry, event logging, ServiceNow ITSM workflows, and incident/change management.
Must be proficient in automated testing practices covering integration, regression, performance, and rollback validation.
Strong full-stack software engineering background with emphasis on automation, testing, and DevOps within AI/observability platforms.
Experienced in deploying and maintaining multi-environment lab setups facilitating continuous integration and automated validation.
Able to bridge cross-functional technical needs, ensuring stability and scalability of AI-powered platforms through effective collaboration and communication.