Principal Platform Engineer

📋 Description

• Design and spearhead the infrastructure strategy for the Production ML platform utilizing Google Cloud.

• Create, implement, and oversee cloud infrastructure (GCP).

• Develop automated CI/CD pipelines for machine learning models.

• Monitor model drift and assess performance decline.

• Work collaboratively with data engineers, ML engineers, and various other teams.

⛳️ Requirements

• 8 - 10+ years of experience in DevOps/Platform Engineering.

• A minimum of 2 years of experience in operating and managing production ML workloads.

• Mastery of GCP & K8s.

• Strong proficiency in Istio and API Gateways.

• Expert-level skills in Terraform.

• Experience in managing enterprise-grade identity and secrets.

• Proficient in operating Airflow in production and ML-serving environments.

• Experience managing Cloud SQL (PostgreSQL), BigQuery, and other datastores.

🏝️ Benefits

• Address real customer challenges.

• Witness the impact of your work.

• Propel your career forward.

• Gain opportunities to learn new technologies, products, and markets in a dynamic, growth-focused setting.