Note: The job is a remote job and is open to candidates in USA. Burwood Group is a technology consulting firm that helps organizations achieve meaningful business outcomes through innovative solutions. The Sr. Consultant, Cloud Solutions role involves leading technical delivery for Google Cloud engagements, focusing on architecting and implementing cloud infrastructure while mentoring junior team members.
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. Translate 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
Skills
- 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
- Highly 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
- You collaborate effectively with others, welcome feedback and code reviews from senior team members, and contribute positively to a team-oriented environment
- 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
- 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
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