Principal Platform Engineer
Ukraine
Full Time
2 weeks ago
No Sponsorship
Key skills
AirflowBigQueryCloudGoogle Cloud PlatformKubernetesPostgresSQLTerraformMLGCPGoogle CloudK8sPostgreSQLIstioCI/CD
About this role
Role Overview
- Architect and lead the infrastructure strategy for the Production ML platform on Google Cloud.
- Design, deploy, and maintain cloud infrastructure (GCP).
- Build automated CI/CD pipelines for ML models.
- Track model drift and performance degradation.
- Collaborate with data engineers, ML engineers, and other teams.
Requirements
- 8
- 10+ years in DevOps/Platform Engineering.
- At least 2 years of experience operating and maintaining production ML workloads.
- GCP & K8s Mastery.
- High proficiency with Istio and API Gateways.
- Expert-level Terraform skills.
- Experience managing enterprise-grade identity and secrets.
- Experience operating Airflow in production and ML-serving stack.
- Manage Cloud SQL (PostgreSQL), BigQuery, and datastores.
Tech Stack
- Airflow
- BigQuery
- Cloud
- Google Cloud Platform
- Kubernetes
- Postgres
- SQL
- Terraform
Benefits
- Solve real customer problems.
- See your impact.
- Accelerate your career.
- Opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment.