• Act as trusted Technical Advisor to the teams, customer executives, and technical leadership, translating complex technical roadmaps into clear business value and risk assessments.

• Define the multi-year, enterprise-wide strategy for cloud adoption, migration, and modernization, with a strong focus on Google Cloud Services and startegic interoperability with the second cloud platform (Pref AWS).

• Establish and enforce global cloud governance frameworks, architectural standards, reference models, and reusable patterns for deployment, security, and operations across all environments.

• Drive advanced DevOps practices and accountability models.

• Architect and lead the implementation of complex, large-scale solutions on Google Cloud, with hands-on experience in leveraging services like GKE, Cloud Dataflow, BigQuery, Cloud Run, Vertex AI, and Cloud Spanner.

• Design and govern the integration patterns for hybrid and multi-cloud systems, focusing on low-latency, secure connectivity, and consistent Identity and Access Management (IAM) across platforms (e.g., using federated identity or centralized key management).

• Define the DevSecOps and cloud security posture, ensuring that designs meet stringent regulatory (e.g., data residency) and global compliance requirements (e.g., GDPR, HIPAA).

• Lead Proof-of-Concept (PoC) initiatives for emerging technologies like Generative AI (e.g., Google Vertex AI or AWS Bedrock), serverless computing, and define their eventual architecture and integration into the enterprise landscape.

• Architect a comprehensive visibility strategy to monitor system health and proactively resolve performance bottlenecks across complex cloud environments.

• Design automated governance guardrails that ensure every deployment is secure, compliant, and cost-optimized by default.
  
• Mentor, coach, and grow a group of Senior/Lead Cloud Engineers, fostering a culture of engineering excellence, ownership, and continuos learning.

• Own and drive continuous improvement of the cloud architecture delivery pipeline, promoting GitOps, and end-to-end automation across the development lifecycle.

• Collaborate with the Data & AI Team and Engineering Leads to ensure architectural decisions align with product roadmaps and business domain goals.

• 12+ years of experience in Infrastructure Engineering or similar role.

• Extensive experience with Google Cloud.

• Proven ability to architect for scale, availability, and high-performance workloads.

• Deep knowledge of Infrastructure as Code (IaC) with Terraform.

• Strong experience with Kubernetes and related tools (Helm, Kustomize, ArgoCD).

• Solid understanding of Git, branching models, CI/CD pipelines, and deployment strategies.

• Experience with security, audit, and compliance best practices.

• Excellent problem-solving and analytical skills.

• Strong communication and interpersonal skills, with the ability to engage with both technical and non-technical stakeholders.

• Experience in technical mentoring, team-forming, and fostering self-organization and ownership.

• Experience with customer relationship management and project planning.

• Relevant certifications (e.g., Kubernetes Certified Administrator, Google Cloud Certified Professional Cloud

Architect, etc.).

• Software development experience (e.g., Terraform, Python).

• Experience/Exposure with machine learning infrastructure