Software Engineer

1 day ago


Denver, Colorado, United States Concept3D Inc. Full time
About Concept3D Inc.

We are a leading provider of cloud-based software solutions for the higher education community. Our platform empowers administrators to create immersive online experiences that improve campus communications, recruitment, and navigation.

Job Summary

This is a unique opportunity to join our Operations team as a DevOps Engineer who will help advance our DevOps practices in support of multiple software engineering teams. You will work closely with leadership and fellow engineers to implement Continuous Delivery, automate deployments, and ensure uninterrupted availability of our software applications.

Responsibilities
  • Implement CI/CD pipelines and execute automated or manual deployments for development, test, and production environments
  • Administer, maintain, and troubleshoot Ubuntu Linux based systems
  • Manage manual and automated changes through Development, QA, and Production environments
  • Work closely with software engineering teams to define infrastructure and deployment requirements
  • Actively participate in agile planning and release processes
Requirements
  • Knowledge of industry best practices for DevOps in a cloud computing environment
  • Experience working with cloud platforms (AWS / Azure)
  • Experience working with Docker based container deployments
  • Experience with monitoring and alerting
  • Experience with agile software development and working as part of a collaborative agile team
  • Motivated to automate manual tasks
Preferred Technologies
  • CI/CD, Jenkins
  • AWS / Azure
  • Linux / Ubuntu
  • Docker
  • Kubernetes
Benefits
  • Excellent Medical, Dental, and Vision benefits for you and your family
  • Paid Time Off program
  • 14 Paid Holidays Annually + your Birthday
  • 401(k) Plan with Employer Match
  • Short Term and Long Term Disability Insurance
Compensation

The base salary range for this position is $80,000- $120,000 annually. Final compensation for this role is determined by a variety of factors, such as a candidate's relevant work experience, skills, and certification.



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