Senior DevOps / MLOps

Job Descriptions

Firmus, powered by Bluebeam, is the leading AI platform for pre-construction design review and risk analysis, helping construction teams, detect design-related issues through intelligent document analysis. Recently acquired by The Nemetschek Group through its subsidiary Bluebeam, we're uniquely positioned at the intersection of startup agility and enterprise scale. We now have access to massive resources, an established customer base, and deep industry expertise, while maintaining our fast-moving, innovative startup culture.

The Team

You'll join a lean, high-impact engineering team building a scalable AI engine that processes millions of construction plans to construct a comprehensive construction knowledge graph. We're on a mission to build an intelligent system that understands construction at massive scale. This is a unique opportunity to work with the speed and creativity of a startup while leveraging the resources, customer access, and market reach of a multi-billion dollar global enterprise.

Key Responsibilities

• Design and maintain scalable cloud infrastructure (AWS) supporting high-volume document processing
• Build and optimize CI/CD pipelines for both application code and ML model deployments
• Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools
• Manage containerized environments (Docker, Kubernetes, ECS) for microservices and ML workloads
• Design and implement monitoring, logging, and alerting systems for distributed applications
• Establish model monitoring systems tracking accuracy, latency, resource utilization, and business metrics
• Manage secrets, certificates, and access control across development and production environments

Required Qualifications

• 5+ years of experience in DevOps, platform engineering, or cloud infrastructure
• Strong proficiency with cloud platforms (AWS, GCP, or Azure) and associated services
• Expertise in containerization (Docker, Kubernetes) and orchestration at scale
• Experience with Infrastructure as Code tools (Terraform, CloudFormation)
• Proficiency in CI/CD tools (GitHub Actions, GitLab CI, Jenkins) and deployment automation
• 2+ years of experience with ML model deployment and production ML systems

Preferred Qualifications

• Understanding of ML model monitoring, drift detection, and automated retraining
• Experience with GPU computing and CUDA optimization
• Experience with compliance frameworks (SOC 2, GDPR, industry-specific regulations)