Own and scale the infrastructure behind our Computer Vision ML Cloud Service.
Work on cloud-native ML infrastructure at scale.
Design multi-tenant infrastructure that scales.
Build standardized, repeatable deployment patterns across multiple customer environments.
Optimize data pipelines for Computer Vision model training and deployment.
Build monitoring and alerting systems for ML service health and performance.
Implement automated CI/CD pipelines for ML model deployment with safe rollback strategies.
Deploy and manage applications on Kubernetes clusters using Helm charts and ArgoCD.
Manage cloud resources consistently using Infrastructure as Code with Terraform.
Ensure high availability, security, and cost optimization of cloud services.
Occasionally handle hardware integration tasks (nice to have).

Requirements

3+ years of experience as a DevOps or Infrastructure Engineer or in a similar role
2+ years of experience in software development
Strong Kubernetes experience - managing production clusters, helm charts, and GitOps (Like ArgoCD)
Infrastructure as Code expertise with Terraform
Monitoring and alerting - hands-on experience with Prometheus, Grafana, and building effective alerting strategies
Deep knowledge about Docker and container orchestration
Experience with CI/CD pipelines and automated deployments
Good understanding of networking and security in cloud environments
Strong proficiency in Python
Experience with one of the major cloud providers (preferably Google Cloud Platform)
Experience designing multi-tenant infrastructure is a big plus
Experience with ML infrastructure or data-intensive applications is a plus
Hardware experience (servers, edge devices) is nice to have but not required
Fluent communication in English

Benefits

Salary: 20,000 - 30,000 gross UoP per month
Equity for every employee
Relocation package
No late evening calls - the entire eng team is based in Europe :)
English-speaking environment
We work mainly remotely, but you have to reckon with occasional office visits if the task requires it

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

KubernetesTerraformCI/CDPythonDockerComputer VisionML infrastructuredata pipelinesmulti-tenant infrastructurenetworking

Soft Skills

communication