Technology and Data - Infrastructure Engineer 3 - Contingent
Mindlance
Job-ID29461808Reference26-28624MANAGER JOB DESCRIPTION (Requested Skills) 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.”Vacancy posted 7 hours ago
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