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.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
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
Nice to Have Skills & Experience
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)
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.