Senior MLOps Engineer (GCP)

Location: Remote Romania

Company

hirify.global develops cybersecurity solutions that help customers monitor, manage, and protect their digital identities and personal information.

What you will do

• Architect and manage scalable GCP-based machine learning infrastructure using Vertex AI, GKE, GCS, Cloud Run, and GPU/TPU compute.
• Own the end-to-end deployment and serving lifecycle for machine learning models, including high-throughput, low-latency inference services.
• Build automated and reproducible pipelines for model training, testing, evaluation, and deployment.
• Implement production observability for infrastructure health, model performance, feature drift, and data distribution shifts.
• Provide standardized training environments and deployment templates for AI and research engineers.
• Lead the transition of AI prototypes and notebooks into secure, resilient, auto-scaling microservices.

Requirements

• At least 5 years of hands-on experience designing, deploying, and maintaining production machine learning workloads in cloud environments.
• Deep experience with GCP, including Vertex AI, Cloud Storage, GKE, Cloud Run, IAM, and VPC configurations.
• Expertise with Docker, Kubernetes/GKE, Triton Inference Server, vLLM, and MLflow.
• Experience with Airflow, Vertex AI Pipelines, GitHub Actions, and ArgoCD.
• Experience managing cloud resources with Terraform and developing automation, APIs, and data workflows with Python and SQL.
• Hands-on experience with logging, telemetry, and ML observability tools such as Grafana, Prometheus, and GCP Cloud Monitoring.

Nice to have

• Experience running large-scale LLM or deep learning inference and training workloads.
• GCP Professional Machine Learning Engineer or Professional Cloud Architect certification.
• Familiarity with feature stores such as Feast or Vertex AI Feature Store.

Culture & Benefits

• Work on cybersecurity products addressing customers’ evolving digital security needs.
• Contribute in a nimble, growth-oriented organization where individual impact is visible.
• Opportunity to learn new technologies, products, and markets as the company expands.
• Inclusive workplace committed to preventing discrimination and harassment.