DevJobs

DevOps Engineer

Overview
Skills
  • CI/CD CI/CD
  • GitHub Actions GitHub Actions
  • Jenkins Jenkins
  • AWS AWS
  • Azure Azure
  • GCP GCP
  • Docker Docker
  • Kubernetes Kubernetes
  • Terraform Terraform
  • ML model deployment ꞏ 1y
  • CloudFormation
  • CUDA
  • ECS
  • GitLab CI
  • GPU computing

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.


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.
  • 1+ years of experience with ML model deployment and production ML systems.
  • 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.
Firmus