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Automation Engineer

Job

Insight Global

Englewood, CO (In Person)

$81,120 Salary, Full-Time

Posted 1 week ago (Updated 21 hours ago) • Actively hiring

Expires 7/24/2026

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Job Description

Job Description We are seeking a technical Platform Engineer to join our PACE team supporting enterprise IaaS, CaaS, and PaaS platforms. This role goes beyond traditional deployment—focused heavily on automation, AI integration, and platform enablement for development teams. You will be responsible for building and maintaining the infrastructure and workflows that allow engineering teams to deploy code seamlessly. This includes Kubernetes cluster provisioning, CI/CD pipeline support, and AI-driven automation initiatives. This is a hands-on, collaborative role ideal for a go-getter who thrives in a fast-paced, highly technical environment. Key Responsibilities Platform Engineering & Automation (Core Focus) Build, provision, and manage Kubernetes clusters and platform infrastructure Develop full automation workflows for infrastructure and application deployment Support and enhance CI/CD pipelines using GitLab CI and ArgoCD Execute infrastructure provisioning using Terraform and Ansible (AWX) Enable development teams by delivering scalable Infrastructure-as-a-Service capabilities AI & Intelligent Automation (50%) Design and implement AI-driven workflows and automation solutions Build and support AI agent integrations and MCP servers Leverage AI tools for troubleshooting, log analysis, and documentation Contribute to enterprise AI initiatives, including LLM integrations and AIOps concepts
Bonus:
Experience with AI platforms such as Kiro Operations & Support (20%) Troubleshoot infrastructure and platform-related issues across environments Monitor platform health and respond to alerts Perform root cause analysis and maintain system reliability Document runbooks and operational procedures Project Execution & Growth (30%) Partner with senior engineers on key platform initiatives Take ownership of projects and grow into independent execution Collaborate closely with production and testing teams This is onsite 4 days a week in Englewood, Colorado offering 38-40/hr. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 3+ years of experience in platform engineering, DevOps, or SRE Strong experience building and managing Kubernetes clusters Solid Linux systems administration (RHEL/CentOS preferred) Hands-on experience with: Terraform & Ansible (Infrastructure as Code) GitLab CI/CD & ArgoCD Container platforms (Docker, Helm, Rancher) Strong troubleshooting and systems thinking skills Experience working in highly collaborative, cross-functional teams Experience with AI tools and development workflows (GitHub Copilot, Amazon Q, etc.) Exposure to AI/ML integration, agent frameworks, or AIOps Knowledge of AWS or cloud environments Experience with observability and security tools: Splunk, HashiCorp Vault, Tanium, Qualys Exposure to hybrid environments (on-prem, virtualization, cloud)