Software Engineer - Platform
Core
Architect and maintain the infrastructure enabling world-class AI, supporting 100+ Data Scientists and Engineers in transitioning models from exploration to production.
Role type
Senior Platform Software Engineer (MLOps/Infrastructure)
Builds
Data science tooling, MLOps pipelines, deployment infrastructure, and containerized microservices for global clients.
Domain
AI/ML Infrastructure, Cloud Engineering, DevSecOps
Deliverable
production ML models | infrastructure
Required skills
Python or Go, Docker, Kubernetes, Terraform or CloudFormation, Infrastructure-as-Code, DevSecOps, distributed systems architecture
Preferred skills
Experience with multi-cloud environments (AWS, Azure, GCP), notebook development environments, model monitoring systems
Technologies
Python, Go, Docker, Kubernetes, Terraform, CloudFormation, AWS, Azure, GCP
Responsibilities
Own deployment and MLOps tooling for quality and reliability; evolve technology stack for notebook environments and model monitoring; design infrastructure for distributed microservices; integrate core platform services across multiple clouds; scale internal enablement capabilities.
Seniority
Senior, hands-on IC
