DevOps / MLOps Engineer
Core
Build and operate infrastructure for a quantum computing platform and AI solutions, enabling reliable and continuous shipping of platform development and client-facing AI projects.
Role type
DevOps and MLOps Engineer
Builds
CI/CD pipelines, cloud infrastructure, and ML operations workflows
Domain
Quantum computing, AI, optimization, and simulation
Deliverable
production ML models | infrastructure
Required skills
Kubernetes, Docker, Infrastructure as Code (Terraform), CI/CD pipeline design, Python scripting, Bash scripting, observability (Prometheus, Grafana, OpenTelemetry), ML pipeline and model deployment
Preferred skills
Quantum computing environments, high-performance computing environments, enterprise SaaS platform development, GPU workload orchestration
Responsibilities
Build and maintain CI/CD pipelines, manage cloud infrastructure, develop ML operations workflows, debug K8s networking and optimize containers, automate complex tasks and build internal tooling, diagnose and solve production outages
Seniority
Mid-Senior, hands-on IC
