Senior ML Ops & Platform Engineer

GlobalLogic Inc.; Województwo zachodniopomorskie; On-site; PLN 180,000 - 300,000; Full time

Job summary

GlobalLogic, a Hitachi Group Company, is building a global threat intel platform with HITL AI workloads. The role centers on DevOps and platform engineering to accelerate analyst decision-making using advanced AI systems.

The initial engagement is planned for 4 months with the possibility of extension depending on project needs. You will provision infrastructure as code, build ML CI/CD pipelines and ensure security controls across cloud services.

Qualifications

• 5+ years in DevOps or platform engineering with ML workloads.
• Advanced Google Cloud Platform and Terraform skills.
• Vertex AI Pipelines, Endpoints and Model Registry or equivalent MLOps stack.
• CI/CD (Cloud Build or GitHub Actions), containers and Kubernetes.
• IAM, secrets management and network perimeters.

Responsibilities

• Provision all infrastructure as code with Terraform: Vertex AI, Cloud Run/GKE, Pub/Sub, BigQuery, Cloud SQL, Secret Manager, IAM and VPC Service Controls.
• Build CI/CD for services and models, the model registry and experiment tracking.
• Serve the ModernBERT model with low latency and cost-efficient inference.
• Automate retraining triggered by feedback volume or drift, with gated promotion to production.
• Operate the feedback and precedent data infrastructure (BigQuery and a vector store).
• Secure and audit MCP server access: authentication, token management and Cloud Logging.
• Run observability for latency, cost and quality alerts, and lead Hypercare and incident response.

Skills

DevOps experience

ML workloads

Cloud expertise

CI/CD

Kubernetes

IAM & security

Tools

Google Cloud Platform

Terraform

Vertex AI

Cloud Run/GKE

BigQuery

Secret Manager

Pub/Sub

Job description

GlobalLogic, a Hitachi Group Company, is building a global threat intel platform with HITL AI workloads. The role centers on DevOps and platform engineering to accelerate analyst decision-making using advanced AI systems.

The initial engagement is planned for 4 months with the possibility of extension depending on project needs. You will provision infrastructure as code, build ML CI/CD pipelines and ensure security controls across cloud services.