Core Technical Responsibilities
- GCP Deep Expertise: Architect and lead the implementation of complex, large-scale solutions on GCP, with hands-on experience in leveraging services like GKE, Cloud Dataflow, BigQuery, Cloud Run, Vertex AI, and Cloud Spanner.
- Interoperability Design: 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).
- Advanced Security: Define the DevSecOps and cloud security posture, ensuring that designs meet stringent Indian regulatory (e.g., data residency) and global compliance requirements (e.g., GDPR, HIPAA).
- Innovation & PoCs: 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.
- Cloud Migration: experience in Cloud migration strategy and implementation
- Observability: Architect a comprehensive visibility strategy to monitor system health and proactively resolve performance bottlenecks across complex cloud environments.
- Policy Definition: Design automated governance guardrails that ensure every deployment is secure, compliant, and cost-optimized by default.
People Leadership & Mentorship
- Team Development: Mentor, coach, and grow a team of Senior/Lead Cloud Architects and engineers, fostering a culture of engineering excellence, ownership, and continuous learning.
- Process Improvement: Own and drive continuous improvement of the cloud architecture delivery pipeline, promoting GitOps and end-to-end automation across the development lifecycle.
- Cross-Functional Alignment: Collaborate with the Data & AI Team and Engineering Leads to ensure architectural decisions align with product roadmaps and business domain goals.
Required Qualifications
- Experience:15+ years of progressive experience in IT/Software Engineering, with at least 5-10 years in Cloud Architecture leadership roles managing enterprise-scale transformations.
Cloud Platform Mastery:
- GCP: Mastery of GCP services, networking, and security. Primary Cloud skill
- Second Cloud: Deep architectural experience in AWS (e.g., EC2,Lambda, S3, RDS, EKS)
Certifications (Preferred ):
- Google Cloud Professional Cloud Architect (Preferred)
- Professional/Expert-level Certification from the secondary cloud provider (e.g., AWS Certified Solutions Architect - Professional).
Technical Stack:
- Infrastructure as Code (IaC) using Terraform (including multi-cloud modules)
- At least one programming language ( Java/Python)
