6 cloud ops engineer jobs at 5 companies in Castle Pines, CO
1mo
Save
Mark Applied
Hide
1mo
Dev Ops Engineer
Boulder, Colorado, United States
$120k-$130k/yrOnsiteFull Time
The GEO GroupNYSE: GEO: Operates private correctional facilities and community reentry programs.
3+ YOEBachelor's degree or equivalent,3+ years DevOps/cloud experience,US citizenship and 3 of last 5 years residency,proficiency with AWS/Azure,Python/Bash/PowerShell,Terraform/CloudFormation/Ansible,Docker/Kubernetes,monitoring tools.
The GEO GroupNYSE: GEO: Provides correctional, detention, and community reentry services.
3+ YOE3+ years DevOps/cloud experience, US citizenship and residency eligibility, proficiency with AWS/Azure, scripting (Python/Bash/PowerShell), IaC (Terraform/CloudFormations/Ansible), containers (Docker/Kubernetes), monitoring tools, strong communication and documentation skills.
TextUs: Cloud-based text messaging platform for business communication and engagement.
6+ YOE6+ years engineering experience with 3+ years in ML platform/ML Ops or applied ML; strong LLM and Python skills; Ruby on Rails familiarity; cloud-native (AWS), containers, IaC expertise; on-call experience and strong communication.
Claude Code, Python, Ruby on Rails, AWS, Containers, Infrastructure as Code (IaC), LLM
Omaha or Saint Louis Park or Denver or Englewood or Orlando or Kansas City or Albuquerque or Portland or Salem or Pittsburgh or Austin or Dallas or Fort Worth or San Antonio or Vienna or Olympia or Columbia or St. Paul or Harrisburg or Pennington or Woodcliff Lake or Phoenix or Folsom
OnsiteFull Time
HDR: Global provider of engineering, architecture, environmental and construction services.
5+ YOE5+ years in virtualization/infrastructure/private cloud operations; hands-on VCF, SDDC Manager, vSphere administration; vSAN/NSX knowledge; scripting/automation with PowerCLI, Python, or Ansible; lifecycle ops and production troubleshooting.
Paradigm: A software transforming the residential, construction, and building product industries.
5+ YOE5+ years designing and deploying applied ML systems; expertise in computer vision and NLP; strong Python and ML frameworks; ML Ops; cloud platforms; clear communicator; degree in CS/ML or related field.