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Sr. Enterprise Infrastructure Architect - Hybrid

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Conexess Group
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer
Salary/Wage Range or Industry Benchmark: 176000 - 220000 USD Yearly USD 176000.00 220000.00 YEAR
Job Description & How to Apply Below

Sr. Enterprise Infrastructure Architect This is a full-time, direct-hire position with a base salary of $176,000 to $220,000 per year, depending on experience and qualifications.

Are you a cloud-forward architect who thrives on designing scalable, secure, and future-ready infrastructure across hybrid environments?
As a Sr. Enterprise Infrastructure Architect
, you’ll shape and drive the technology strategy that powers critical business applications across cloud and on-premises platforms. Reporting to the Director of Enterprise Architecture, you’ll collaborate with a high-performing architecture team to define standards, guide complex initiatives, and ensure a cohesive enterprise technology vision.

This role is hybrid and can be based in Chicago
, giving you flexibility while staying closely connected to the business and your peers. You’ll play a pivotal role in modernizing platforms, enabling cloud adoption, and ensuring systems are secure, resilient, and aligned with evolving business needs.

What You’ll Do
  • Shape Technology Strategy: Define and lead enterprise-wide cloud and infrastructure strategies, roadmaps, and standards that support business growth and innovation.
  • Architect Cloud & Hybrid Solutions: Design and guide the implementation of scalable solutions across public, private, and hybrid cloud environments, integrating seamlessly with on-premises systems.
  • Drive Cloud Migration: Lead cloud and application migration initiatives, ensuring efficiency, security, and alignment with enterprise architecture principles.
  • Ensure Governance & Standards: Oversee architecture review processes and validate that all solutions meet established enterprise, security, and compliance standards.
  • Evaluate & Optimize Systems: Assess existing architectures to identify gaps, risks, and opportunities, delivering actionable recommendations for improvements and optimization.
  • Lead Complex Initiatives: Take projects from concept through design and implementation, driving medium to large-scale infrastructure and platform transformations.
  • Enable Secure Cloud Operations: Champion cloud data security, governance practices, and cost controls, including managing consumption and rate limits for AI-driven workloads.
  • Document & Communicate Architecture: Create and maintain architecture diagrams, patterns, runbooks, and documentation while clearly articulating technical concepts to diverse audiences.
  • Collaborate Across Teams: Partner with leadership, technical teams, and stakeholders to align on priorities, share insights, and advance enterprise-wide initiatives.
  • Stay Ahead of Innovation: Continuously evaluate emerging technologies, vendor solutions, and industry best practices to evolve the technology landscape.
What You’ll Bring
  • Education &

    Certifications:

    Bachelor’s degree in Engineering, Information Technology, or equivalent experience; cloud certifications such as Microsoft Certified:
    Azure Solutions Architect Expert, AWS Certified Solutions Architect, or Google Professional Cloud Architect are strongly preferred.
  • Experience: 10+ years of overall technology experience including 3+ years in advanced cloud infrastructure design (legal industry experience is a plus).
  • Cloud & Infrastructure Expertise: Deep knowledge of multi-cloud environments (Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP)) and hybrid architecture, including migration from on-premises systems.
  • Containerization & Platforms: Experience with Docker, Kubernetes, Rancher, Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), and Google Kubernetes Engine (GKE).
  • AI & Data Platforms: Experience designing infrastructure for AI workloads, troubleshooting complex issues, managing model consumption, and working with Microsoft Fabric…
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