Principal Platform Engineer

📋 Description

• Design, deploy, and maintain elastic GCP infra for ML workloads.
• Scale platforms with Kubernetes for high‑performance ML workloads.
• Build CI/CD pipelines for training, testing, deploying models.
• Implement ML observability: drift, latency, accuracy.
• Collaborate with data, ML, backend, and frontend teams.
• Participate in on-call rotations and SOC compliance.

🎯 Requirements

• Senior Expertise: 8-10+ years in DevOps/Platform Eng; 2+ yrs ML.
• GCP & Kubernetes: GCP (VPC-SC, IAM) and GKE mastery.
• Service Mesh: Istio and API Gateways (Kong).
• Infrastructure as Code: Terraform with Atlantis/GitOps workflow.
• Secrets & Identity: Auth0, Dex, ESO, or SOPS.
• Data/ML Tooling: Airflow in prod; ML serving (Triton, MLflow).
• Database Management: Cloud SQL PostgreSQL, BigQuery, Elasticsearch/ClickHouse.
• English: Upper-intermediate level.

🎁 Benefits

• Impactful work in cybersecurity space.
• Fast-paced, high-trust team.
• Opportunities to learn new technologies.
• Career growth in a growth-oriented environment.