Sr. Consultant, Cloud Solutions

About the role

The Cloud Solutions Team at Burwood Group specializes in helping State, Local, and Education (SLED) and Higher Education clients modernize, innovate, and achieve meaningful outcomes through transformative cloud solutions. Serving as the hands-on technical lead for Google Cloud delivery engagements, this role requires deep expertise in Google Cloud Platform (GCP), production-grade Kubernetes, and Terraform.

Responsibilities

• Act as the hands-on technical lead for client delivery projects, architecting and implementing secure, scalable, and robust Google Cloud solutions.
• Write, test, and deploy robust, modular, and scalable infrastructure using production-grade Terraform or OpenTofu.
• Design, deploy, and manage Kubernetes environments (specifically GKE) tailored to complex client workloads, including GPU-accelerated clusters for modern machine learning applications.
• Lead the design and deployment of foundational cloud infrastructure required for enterprise AI workloads, such as securing Vertex AI environments, configuring MLOps pipelines, and establishing secure networking for LLM deployments.
• Lead technical discussions with a variety of client stakeholders ranging from central IT and research teams to non-technical project sponsors, translating complex technical concepts into clear, actionable business insights.
• Work closely with internal and client Project Managers to ensure milestones are met, navigating and resolving technical ambiguity along the way.
• Serve as a technical mentor to Consultants and Associate Consultants on the team, fostering a culture of continuous learning and high performance.

Requirements

• Extensive, hands-on experience designing and deploying infrastructure natively on GCP.
• Deep understanding of Kubernetes architecture and hands-on experience running, deploying, and managing K8s clusters in production environments (GKE preferred).
• Extensive, hands-on experience writing and managing 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 forward independently.
• Hightly professional communication skills with the emotional intelligence to navigate complex client relationships and varying levels of technical literacy.
• A genuine passion for staying ahead of the curve on emerging cloud technologies, modern DevOps/Platform Engineering practices, and secure AI/ML integrations within the Google ecosystem.

Qualifications

• Active Google Cloud Professional Certifications (e.g., Cloud Architect, Cloud DevOps Engineer, Machine Learning Engineer) are highly preferred.
• CNCF (CKA/CKAD) or HashiCorp certifications are a strong plus.

Skills

• MLOps & AI Foundations: Experience or strong interest in architecting the infrastructure for generative AI workloads, including an understanding of LLM serving requirements, vector database provisioning, and deploying agentic frameworks.

Benefits

• Work alongside talented professionals in a collaborative environment.
• Tackle exciting challenges and develop skills that elevate your career.
• Be part of a team committed to making a real difference for clients.

Pay

Competitive compensation package based on experience and qualifications.

Schedule

Full-time position with flexible working hours to support remote work options.