Cloud Infrastructure & DevOps Associate - Simulation

• Set up and manage Kafka-based data ingestion from external platforms.
• Integrate with Databricks for real-time and batch processing of simulation data, crack detection outputs, and inspection datasets
• Build secure sharing mechanisms for inspection reports, simulation results, and 3D models
• Manage infrastructure-as-code using Terraform or Bicep to deploy and maintain consistent cloud environments
• Integrate simulation results into real-time digital twin systems, enabling actionable insights on equipment performance and operational planning
• Monitor systems using Azure Monitor, ELK, or Prometheus/Grafana to ensure availability, scalability, and performance
• Create automated CI/CD pipelines for data processing, simulation, and 3D asset workflows
• Automate cloud-based 3D model reconstruction from inspection datasets (e.g., point clouds, drone imagery, crack detection outputs)
• Package and deliver reconstructed 3D models and annotated inspection results via secure client portals or custom viewers
• Enable cross-team automation for simulation engineers, inspection groups, and digital twin platform developers
• Deploy and orchestrate compute-heavy simulation jobs in the cloud
• Implement best practices in cloud security, encryption, and access control
• Hands-on with Kafka, including configuration, message flows, and monitoring
• Ensure reliable, auditable delivery pipelines that meet client compliance and usability needs
• Design, build, and maintain secure, scalable environments using Azure (AKS, VMs, Functions, Blob Storage, App Services, etc.)

Kafka & Databricks Pipelines

Azure Cloud Infrastructure

CI/CD and Automation

• Skilled in infrastructure-as-code using Terraform or Bicep
• Prior experience supporting engineering or infrastructure-focused teams
• Proficient with Docker, Kubernetes, and container orchestration at scale
• All new hires will be required to successfully complete and pass a pre-employment (post offer) background check in compliance with NIST 800-171
• Familiarity with computer vision pipelines, crack detection, or point cloud processing
• Strong experience with Azure services: AKS, Blob, Functions, App Gateway, and Networking
• Familiarity with Microsoft Installers (MSI)
• Bachelor’s degree in Computer Science, Information Technology, or related engineering degree (Software or Computer Engineering)
• Experience creating digitally signed application installers and collaborating with QA for deployment testing
• Experienced in Databricks: notebooks, pipelines, Delta Lake, and cluster management
• Proficient in Python, Bash, or other scripting languages for automation
• Proficient with CI/CD tools: GitHub Actions, Azure DevOps, or Jenkins
• Understanding REST APIs, event-driven architecture, and real-time data delivery
• 4-8 years of experience
• Master's degree in Computer Science, Information Technology, or related engineering degree