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Technology and Data - Infrastructure Engineer 3 - Contingent
Mindlance
- 🇺🇸 United States
- On-site
- 1 day ago
- CI/CD
- Devops
- Windows
- MacOS
- Linux
- iOS
- Android
- Hyper-V
- Kubernetes
- Azure
- GCP
- PowerShell
- Bash
- Terraform
- AI/ML
1 day ago
Prioritize infrastructure, cloud, endpoint, or lab engineering backgrounds with strong customer-facing skills. This role is not primarily focused on software development, application support, CI/CD pipeline management, DevOps engineering, or SRE-focused work.
• Partner with project teams and project managers to translate evaluation needs into appropriate lab requirements and service capabilities.
• Provide guidance on lab offerings, supported platforms, technical constraints, and effective use of the lab environment.
• Troubleshoot technical issues impacting project teams, including operating systems, endpoint platforms, cloud services, connectivity, proxy services, identity, compatibility, and platform integrations.
• Administer and support Windows, macOS, Linux, iOS, Android, Client, Hyper-V, Kubernetes, Microsoft Azure, and Google Cloud Platform environments used by lab customers.
• Automate infrastructure provisioning, configuration, and operational tasks using PowerShell, Bash, Terraform, or similar tools where appropriate.
• Create and maintain knowledge articles, technical procedures, operational documentation, and service standards.
• Partner with senior infrastructure engineers on larger-scale platform enhancements, new offerings, lifecycle work, and service improvements.
KEY QUALIFICATIONS
• 5-7 years of experience in infrastructure engineering, cloud engineering, systems administration, lab engineering, or a related technical discipline.
• Strong customer-facing skills with experience serving as a technical advisor to engineering, architecture, and project teams.
• Experience supporting enterprise environments across on-premises, cloud, SaaS, and end-user computing platforms.
• Hands-on experience supporting Windows, macOS, Linux, iOS, and Android platforms, plus broad knowledge of virtualization, compute, storage, networking, identity, and security technologies.
• Experience with Client, Hyper-V, Kubernetes, container-based technologies, Microsoft Azure, and Google Cloud Platform; multi-cloud experience preferred.
• Strong troubleshooting, communication, documentation, problem-solving, organizational, and customer service skills.
• Self-motivated team player with technical curiosity, adaptability, attention to detail, and a passion for learning emerging technologies.
• Experience supporting innovation labs, proof-of-concept programs, sandbox environments, or pre-production testing platforms.
• Experience supporting AI/ML platforms, emerging technologies, enterprise SaaS solutions, hybrid environments, or multi-cloud environments.
• Experience supporting enterprise networking, identity, proxy, secure connectivity, access management, endpoint management, or infrastructure automation.
• Experience evaluating, integrating, and operationally supporting new technologies with vendors, architects, infrastructure teams, and project teams.
• Industry certifications related to cloud, infrastructure, virtualization, endpoint management, or security are a plus; hands-on experience is most important.
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Technology and Data - Infrastructure Engineer 3 - Contingent · Mindlance