Infrastructure Engineer, ML Systems
Lucidic AI · lucidic.ai
San Francisco
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The job in short
ML systems infrastructure engineering.
PythonAWSAzureGCPKubernetesTerraformSOCNetworkingCompliance
Details
- Found
- 9 d ago · posted 2026-10-17
- Location as listed
- San Francisco, CA, US
- Role
- Machine Learning / AI Engineer
- Source
- The company’s own careers site
Full description
We're looking for an Infrastructure Engineer to build and maintain the foundational systems that power Lucidic's optimization platform. You will ensure our systems are reliable, secure, and scalable as we grow.
Responsibilities
• Design and maintain cloud infrastructure for ML workloads
• Build CI/CD pipelines and deployment automation
• Implement security best practices and compliance requirements (SOC 2, HIPAA)
• Optimize infrastructure costs while maintaining performance
• Set up monitoring, alerting, and incident response processes
• Support the team in debugging production issues
Qualifications
• Strong experience with cloud platforms (AWS preferred, GCP/Azure acceptable)
• Experience with Infrastructure as Code (Terraform, Pulumi, etc.)
• Familiarity with Kubernetes and container orchestration
• Understanding of networking, security, and compliance requirements
• Strong scripting skills (Python, Bash)
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