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Automation & Cloud Engineering Services - CI​/CD pipelines, infrastructure automation, Kubernete

Job in Englewood, Arapahoe County, Colorado, 80151, USA
Listing for: Cygnus Professionals Inc.
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, IT Infrastructure, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Automation & Cloud Engineering Services - CI/CD pipelines, infrastructure automation, Kubernete[...]

We are hiring for a Software Engineer I to support our Platform Automation & Cloud Engineering Services (PACE) team.

This is a hands‑on role focused on CI/CD pipelines, infrastructure automation, Kubernetes operations, and platform troubleshooting
.

Candidates should be technically strong, and capable of working in a fast‑paced enterprise environment.

Core Responsibilities
  • Execute infrastructure provisioning and deployment using Terraform and Ansible/AWX
  • Troubleshoot platform and infrastructure issues across IaaS and CaaS environments
  • Monitor platform health, respond to alerts, and perform root cause analysis
  • Maintain and support CI/CD pipelines using Git Lab CI and ArgoCD
  • Develop and maintain runbooks and documentation
  • Use AI tools for troubleshooting, log analysis, scripting, and automation
Required Skills Infrastructure & Platform Support (Primary – 50%)
  • 3+ years hands‑on Kubernetes administration
  • Infrastructure as Code:
    Terraform, Ansible, AWX
  • CI/CD:
    Git Lab pipelines, ArgoCD
  • Scripting:
    Python or Bash
Observability & Security
  • Monitoring:
    Splunk
  • Secrets Management:
    Hashi Corp Vault
  • Security Tools:
    Tanium, Qualys
AI & Automation (Mandatory – 50%)
  • Experience with AI assistants (
    Git Hub Copilot, Amazon Q or similar
    )
  • Use of AI for automation, troubleshooting, and documentation
  • Understanding of AIOps concepts (anomaly detection, predictive alerts)
  • Awareness of AI agent frameworks / LLM integrations
Key Tools & Platforms
  • Automation: Terraform, Ansible/AWX, Python
  • Security: Tanium, Qualys, Xray
Value Proposition
  • Hands‑on exposure to enterprise cloud platforms (IaaS/CaaS)
  • Work with AI-driven automation tools
  • Collaboration with Tech Ops and Sec Ops teams
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