Senior Platform Engineer (DevOps / MLOps)
Core
Building backend and AI platform foundations to ensure safe, repeatable shipping of AI-powered health intelligence features with strong validation and observability.
Role type
Senior Platform Engineer (DevOps / MLOps)
Builds
Production harness, CI/CD quality gates, reusable validation flows, and operational feedback loops for AI backend systems.
Domain
Health-tech / Wearables / AI & LLMs
Deliverable
production ML models | infrastructure
Required skills
Backend platform engineering, CI/CD system design, Cloud infrastructure, Production debugging, System design, Validation/quality system design, LLM operational support
Preferred skills
Offline/online eval systems, LLM tracing, Scenario-driven testing, Observability tooling (OpenTelemetry, Grafana), Health-tech domain experience
Technologies
Python, Cloud infrastructure, CI/CD tools, OpenTelemetry, Grafana
Responsibilities
Build CI/CD quality gates for backend and AI workflows, Create reusable validation infrastructure for AI features, Improve feedback loops between development and production, Standardize shared LLM delivery surface, Partner with backend/AI engineers to scale release-confidence workflows
Seniority
Senior, hands-on IC