DevOps/MLOps Engineer (Cloud & SRE) at Sidis AI

We are looking for a highly skilled engineer with strong experience in DevOps, MLOps, Kubernetes, Cloud Infrastructure, and SRE to help build and operate scalable ML and cloud-native platforms.

Key skills we expect you to have:

• Kubernetes across major platforms (GKE, EKS, AKS)
• Cloud infrastructure on AWS, GCP, or Azure
• Docker and Linux
• Infrastructure-as-code with Terraform
• Helm and ArgoCD for GitOps-driven deployments
• CI/CD and GitOps practices
• MLOps and ML lifecycle operations
• Observability, reliability, and automation
• Experience with MongoDB and distributed systems
• Scripting/programming with Python, Go, Bash, and/or JavaScript

How you’ll work with us: You’ll partner with multiple technical teams (Data Scientists, Data Engineers, Backend, and Infrastructure) and translate platform requirements into reliable production systems. We value engineers who can iterate fast without compromising reliability, who communicate clearly, and who take ownership of operational outcomes.

Location: We are hiring for a 100% remote role with preference for candidates in Portugal, Spain, or LATAM.