Senior MLOps / AIOps Platform Engineer - MLflow, GCP, Vertex AI, IBM Watsonx, Terraform

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Job Description

Job Summary

We are seeking a Senior MLOps / AIOps Platform Engineer with deep DevSecOps expertise and hands-on experience managing enterprise-grade AI / ML platforms. This critical role focuses on building, configuring, and operationalizing secure, scalable, and reusable infrastructure and pipelines that support AI and ML initiatives across the enterprise. The ideal candidate will have a strong background in Infrastructure as Code (IaC), pipeline automation, and platform engineering, with specific experience configuring and maintaining IBM watsonx and Google Cloud Vertex AI environments.

Key Responsibilities

Platform Engineering & Operations

• Lead the provisioning, configuration, and ongoing support of IBM watsonx and Google Cloud Vertex AI platforms.
• Ensure platforms are production-ready, secure, cost-efficient, and performant across training, inference, and orchestration workflows.
• Manage lifecycle tasks such as patching, upgrades, integrations, and service reliability.
• Partner with security, compliance, and product teams to align platforms with enterprise and regulatory standards.

Enterprise MLOps / AIOps Enablement

DevSecOps Integration

Infrastructure as Code & Automation

Monitoring, Logging & Observability

Qualifications

Education

Experience

Technical Skills

Preferred

Employee Type

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Skills Required

Cloudformation, Prometheus, Bash, Pulumi, Grafana, Datadog, Terraform, Docker, Ansible, Python, Kubernetes