Voyager Technologies
Automation Engineer
$160K–$180K
Denver, CO. Remote - United States +1 · Remote · Full-time · Posted Sep 16, 2026
- Location
- Denver, CO. Remote - United States
Remote - United States - Experience
- 12+ years in automation engineering, DevOps, systems engineering, or a closely related discipline.
- Education
- Bachelor's degree in computer science, Information Technology, or a related field highly desired; or equivalent hands-on experience combined with certifications.
- Visa sponsorship
- Applicants must be a U.S. Person: a U.S. citizen, lawful permanent resident, or protected individual as defined by 8 U.S.C. § 1324b(a)(3). Must be eligible to obtain any required export authorizations.
About the job
Designs, builds, and operates enterprise automation and AI-driven workflows to streamline IT and business processes across regulated environments.
What you'll do
- Build and maintain scripts, integrations, RPA, and orchestrated workflows; document and support them in production.
- Evaluate and deploy AI and agentic workflows, integrating them into operational processes and aligning tools with security and compliance needs.
- Automate infrastructure and CI/CD, monitor workflow reliability, and collaborate with teams to prioritize and deliver automation.
What they ask for
- Expert-level Python and PowerShell; experience building production-grade automation at enterprise scale.
- 12+ years of experience in automation engineering, DevOps, systems engineering, or a closely related discipline.
- Hands-on professional experience designing or deploying AI-powered or agentic workflows.
- US Person required under ITAR/EAR; must be eligible to obtain required export authorizations.
Nice to have
- Experience in regulated or compliance-driven environments.
- Ansible and listed professional certifications, including Microsoft, HashiCorp, AWS, or CompTIA certifications.
Pay
$160,000–$180,000 USD base salary
Tools
Python, PowerShell, Terraform, AWS CloudFormation, LangChain, AutoGen, Semantic Kernel, Apache Airflow
AI focus
Evaluates and deploys AI-powered automation and agentic workflows, including LLM integrations, to automate multi-step tasks and reduce manual decision-making.
Model-written summary · the original posting is authoritative