Overview
We are seeking a Senior Manager / Cloud Infrastructure Architect with deep expertise in Azure and/or GCP, and a strategic understanding of multi-cloud environments. You will lead the design, implementation, and optimization of cloud platforms that power data-driven, AI/GenAI-enabled enterprises. You will drive engagements focused on platform modernization, infrastructure-as-code, DevSecOps, and security-first architectures — aligning with business goals across Fortune 500 and mid-size clients.
Key Responsibilities:
Cloud Strategy & Architecture
- Shape and lead enterprise-grade cloud transformation initiatives across Azure, GCP, and hybrid environments.
- Advise clients on cloud-native, multi-cloud, and hybrid architectures aligned to performance, scalability, cost, and compliance goals.
- Architect data platforms, Lakehouses, and AI-ready infrastructure leveraging cloud-native services.
AI & Data Infrastructure Enablement
- Design and deploy scalable cloud platforms to support Generative AI, LLM workloads, and advanced analytics.
- Implement data mesh and lakehouse patterns on cloud using services like Azure Synapse, GCP BigQuery, Databricks, Vertex AI, etc.
Required Skills & Experience:
- 10+ years in cloud, DevOps, or infrastructure roles, with at least 4+ years as a cloud architect or platform engineering leader.
- Deep knowledge of Azure or GCP services, architecture patterns, and platform ops; multi-cloud experience is a strong plus.
- Proven experience with Terraform, Terragrunt, CI/CD (Azure DevOps, GitHub Actions, Cloud Build), and Kubernetes.
- Exposure to AI/ML/GenAI infra needs (GPU setup, MLOps, hybrid clusters, etc.)
- Familiarity with data platform tools: Azure Synapse, Databricks, BigQuery, Delta Lake, etc.
- Hands-on with security tools like Vault, Key Vault, Secrets Manager, and governance via policies/IAM.
- Excellent communication and stakeholder management skills.
Preferred Qualifications:
- Certifications: Azure Solutions Architect Expert, GCP Professional Cloud Architect, Terraform Associate
- Experience working in AI, Data Science, or Analytics-led organizations or consulting firms.
- Background in leading engagements in regulated industries (finance, healthcare, retail, etc.)
Key Skill:
Landing Zone patterns, Data - Data landing zone. Multi-cloud Databricks, Snowflake, Dataproc, Bigquery, Azure HDInsights, AWS Redshift, EMR
AI - GenAI platforms, AI Foundry, AWS Bedrock, AWS Sagemaker, GCP Vertex AI.
Security. Scalability, Cloud agnostic, Cost efficient, Multi-cloud architecture.
Job Type: Full-time
Pay: ₹4,200,000.00 - ₹4,900,000.00 per year
Schedule:
- Day shift
Work Location: In person