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Senior DevOps Engineer (GCP / ML Platform) IRC306817

Рівень:: senior
Джерело:: djinni.co

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Що робити

Design, provision, and manage cloud infrastructure using Terraform, including Vertex AI, Cloud Run/GKE, Pub/Sub, BigQuery, Cloud SQL, Secret Manager, IAM, and VPC Service Controls.
Build and maintain CI/CD pipelines for services and ML models, including model registry and experiment tracking capabilities.
Deploy and optimize ModernBERT model serving to achieve low-latency, cost-efficient inference at scale.
Automate model retraining based on feedback volume or model drift, with validation and approval gates before promoting models to production.
Build and operate the data infrastructure supporting analyst feedback and precedent data, using BigQuery and a vector store.

Що очікуємо

5+ years of experience in DevOps or platform engineering, including at least 2 years supporting ML workloads in production.
Strong hands-on experience with Google Cloud Platform (GCP) and Terraform.
Experience with Vertex AI Pipelines, Endpoints, and Model Registry, or an equivalent MLOps platform.
Experience building CI/CD pipelines using Cloud Build or GitHub Actions, working with containers, and deploying workloads on Kubernetes.
Experience implementing enterprise security controls, including IAM, secrets management, and network security perimeters.

Що пропонуємо

Experience with inference optimization techniques, such as ONNX and quantization.
Familiarity with MLflow, LLM observability tools, and data engineering in BigQuery.
Relevant Google Cloud certifications, such as Google Cloud Professional-level certifications.

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