Sr. Consultant, Cloud Solutions (Google Cloud)

TL;DR

Sr. Consultant, Cloud Solutions (Google Cloud): Hands-on technical leadership for Google Cloud delivery engagements, architecting, building, and deploying secure, scalable cloud infrastructure with an accent on production-grade Kubernetes (GKE), Infrastructure as Code (Terraform/OpenTofu), and enterprise AI infrastructure for Vertex AI and LLM deployments. Focus on designing foundational AI cloud environments, implementing MLOps pipelines, and leading complex client technical discussions while resolving ambiguity in production delivery.

Company

Technology consulting firm delivering cloud solutions for SLED and higher education clients.

What you will do

• Serve as the hands-on technical lead for client delivery projects, architecting and implementing secure, scalable Google Cloud solutions.
• Build and manage containerized infrastructure using production-grade Terraform (or OpenTofu) and Kubernetes (GKE), including GPU-accelerated clusters for ML workloads.
• Lead AI infrastructure architecture for enterprise AI workloads, including securing Vertex AI environments, configuring MLOps pipelines, and establishing secure networking for LLM deployments.
• Lead technical discussions with client stakeholders and translate complex technical concepts into actionable business insights.
• Coordinate with internal and client Project Managers to meet milestones and resolve technical ambiguity.
• Mentor Consultants and Associate Consultants through collaboration and code reviews.

Requirements

• Native, hands-on Google Cloud proficiency for designing and deploying infrastructure on GCP (AWS/Azure experience is a minor plus).
• Deep Kubernetes production experience, including running, deploying, and managing clusters in production environments (GKE preferred).
• Advanced Infrastructure as Code experience with production-ready Terraform (or OpenTofu), including state management, modules, and CI/CD integration.
• Ability to thrive in ambiguous project environments, take initiative, and drive solutions independently.
• Excellent professional communication skills with emotional intelligence to navigate client relationships across varying technical literacy.
• Passion for continuous learning in emerging cloud technologies, modern DevOps/Platform Engineering practices, and secure AI/ML integrations within the Google ecosystem.

Nice to have

• Experience or strong interest in generative AI infrastructure, including LLM serving requirements, vector database provisioning, and agentic frameworks.
• Active Google Cloud Professional Certifications (e.g., Cloud Architect, Cloud DevOps Engineer, Machine Learning Engineer).
• CNCF certifications (CKA/CKAD) and/or HashiCorp certifications.

Culture & Benefits

• Client-focused culture emphasizing ownership, collaboration, and continuous growth.
• Hands-on, highly technical delivery role with majority time spent implementing and supporting cloud solutions.
• Mentorship and code review culture to support continuous learning and high performance.
• Diversity & inclusion commitment across backgrounds and experiences.

Hiring process

• Interview process focused on technical delivery leadership, Google Cloud/Kubernetes/IaC depth, and communication with client stakeholders.

Location: Chicago, IL, USA