AHEAD

AHEAD

Technical Consultant - Datacenter & Cloud

Chicago, Illinois

Sponsorship not specified$135k-$165kDetected 13 days ago
JavaScriptPythonBashPowerShellAWSAzureCloud PlatformsTerraformAnsibleCustomer SupportEMI/EMCCiscoUnityCommunicationMentoring

About the role

  • We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.
  • This OTE range may vary based on the candidate's relevant experience, qualifications, and geographic location.

Responsibilities

  • Implement storage solutions for performance, availability, recoverability, scalability, and operational simplicity across on-premises and cloud environments.
  • Design, configure, and deploy SAN infrastructure, including Cisco and Brocade Fibre Channel switching. Perform SAN interoperability analysis across server, switch, and storage infrastructure.
  • Support replication and storage continuity technologies such as SRDF, SyncIQ, Pure, SnapMirror, Zerto, and related array or host-based tools.
  • Develop technical documentation including solution designs, implementation plans, operational procedures, and knowledge transfer materials.
  • Collaborate with project managers, architects, account teams, and customer stakeholders to align scope, timeline, and technical outcomes.
  • Maintain awareness of emerging storage, cloud, and infrastructure trends and recommend practical improvements to delivery methods and client environments.
  • Build credibility quickly with customer teams and internal delivery, architecture, and sales stakeholders.

Requirements

  • Hands-on experience in enterprise storage infrastructure delivery roles, ideally within consulting, professional services, or complex customer delivery environments.
  • Strong experience with major storage platforms including Dell EMC PowerMax or VMAX, PowerScale or Isilon, Unity, PowerStore, Pure Storage, NetApp, Nasuni, Cloudian, and comparable enterprise technologies.
  • Experience with SAN implementation and interoperability analysis.
  • Experience with integrating, and supporting storage solutions across major cloud platforms such as AWS, Microsoft Azure, and Google Cloud.
  • Working knowledge of automation and orchestration using tools such as Python, Bash, PowerShell, JavaScript, Ansible, Terraform, or Jenkins.
  • Ability to troubleshoot complex storage and connectivity issues across arrays, hosts, switches, and supporting infrastructure ecosystems.
  • Strong communication and documentation skills, including the ability to explain risks and recommendations to both technical and business stakeholders.
  • Familiarity with AI productivity tools and practical use of automation to improve delivery consistency and speed.
  • Experience contributing to customer workshops, technical discovery, and solution planning activities.
  • Demonstrated ability to manage multiple priorities and work independently in client-facing delivery environments.
  • Experience in deployment and support of enterprise Storage Systems including both block and unstructured data.
  • Expectations
  • Take ownership of assigned technical workstreams and contribute as a trusted member of the Storage Delivery Team.
  • Deliver high-quality work with strong attention to execution, risk management, and customer outcomes.

Skills

  • AHEAD builds platforms for digital business.
  • There is an expectation of at least 25% travel.
  • Final hiring decisions are ultimately made by humans.
  • Candidates will not be penalized for choosing to opt-out.

Compensation

  • The compensation range indicated in this posting reflects the On-Target Earnings ("OTE") for this role, which includes a base salary and any applicable target bonus amount.

Benefits

  • Medical, Dental, and Vision Insurance
  • Paid parental and caregiver leave
  • Plus more! See benefits https://www.aheadbenefits.com/ for additional details.

Visa & Work Authorization

  • You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application.

This listing is sourced directly from AHEAD's careers page and normalized into a canonical job model.