Job VC

Senior DevOps / MLOps Engineer to support an early-stage startup building a machine learning platform on Google Cloud.
Location: any
Start: ASAP
Duration: mid-long term
Engagement:  Part-time
English: B2+
We are looking for a Senior DevOps / MLOps Engineer to support an early-stage startup building a machine learning platform on Google Cloud.
The role focuses on designing and maintaining cloud infrastructure and deployment pipelines for ML workloads, with a strong emphasis on Kubernetes (GKE) and Infrastructure as Code (OpenTofu/Terraform).
Required Experience
5+ years in DevOps / Platform Engineering
Strong hands-on experience with:
GCP (production environments)
Kubernetes (preferably Google Kubernetes Engine)
Infrastructure as Code (Terraform or OpenTofu)
Experience deploying and operating ML workloads in production
model inference (required)
training pipelines (basic familiarity expected)
CI/CD experience (e.g. GitHub Actions)
Strong understanding of:
containerization (Docker)
networking (VPC, IAM)
environment isolation (dev / staging / prod)
Nice to Have
Experience with Vertex AI or similar ML platforms
Experience with ML orchestration tools (Kubeflow, Airflow, etc.)
Hands-on experience with GPU workloads on Kubernetes
Familiarity with model lifecycle (versioning, artifacts, deployment)
Experience in early-stage or fast-moving startup environments
Not a Fit If
DevOps background without experience supporting ML workloads in production environments
Experience limited to managed/serverless platforms without Kubernetes
No hands-on experience with Infrastructure as Code