Master Cloud Solution Engineer

5 days ago

Noida, Uttar Pradesh, India beBeeArchitecture Full time ₹ 1,75,10,000 - ₹ 2,51,30,000

Cloud Infrastructure Architect

">
  • Job Description: We are seeking a highly experienced Cloud Infrastructure Architect with strong expertise in IaaS, SaaS enablement, Data Consolidation, and MLOps. The ideal candidate will be responsible for designing and delivering enterprise-grade cloud architectures that integrate infrastructure, applications, and data platforms to support AI/ML-driven business transformation.">
  • Key Responsibilities:">
  1. Cloud Architecture & Delivery (IaaS & SaaS):">
    1. - Design, architect, and implement cloud-native IaaS platforms (AWS, Azure, GCP).">
    2. - Enable SaaS capabilities including multi-tenancy, subscription management, security, and compliance.">
    3. - Define infrastructure-as-code (IaC) patterns using Terraform, Ansible, or CloudFormation.">
    4. - Architect scalable, secure, and resilient cloud platforms for enterprise applications.">
    5. - Drive cost optimization, governance, and automation of cloud environments.">
    ">
  2. Data Consolidation & Management:">
    1. - Lead design of data consolidation strategies across structured, semi-structured, and unstructured sources.">
    2. - Implement data lakes, lakehouses, and data pipelines to unify enterprise data.">
    3. - Ensure compliance with data security, governance, and lineage requirements.">
    4. - Enable enterprise analytics and AI/ML workloads through consolidated data platforms.">
    ">
  3. MLOps & AI/ML Enablement:">
    1. - Architect and implement MLOps frameworks for model training, deployment, monitoring, and lifecycle management.">
    2. - Integrate AI/ML workflows with data lakes, vector databases, and cloud-native pipelines.">
    3. - Collaborate with data scientists and ML engineers to operationalize models at scale.">
    4. - Build CI/CD for ML (CI/CD/CT) pipelines ensuring reproducibility and scalability.">
    ">
  4. Collaboration & Leadership:">
    1. - Partner with application teams, data engineers, and business stakeholders to deliver cloud transformation programs.">
    2. - Provide technical leadership and mentorship for cross-functional cloud engineering teams.">
    3. - Define best practices, reference architectures, and guardrails for cloud, data, and MLOps delivery.">
    4. - Act as a trusted advisor to CXOs on cloud adoption and AI-driven innovation.">
    ">
  5. Required Skills & Qualifications:">
  • - 12–15 years of IT experience, with at least 5+ years as a Cloud Architect.">
  • - Strong expertise in IaaS platforms (VMs, networking, storage, Kubernetes, security) on AWS/Azure/GCP.">
  • - Proven experience in SaaS solution design (multi-tenancy, subscription management, API-first architectures).">
  • - Deep understanding of data consolidation (data lakes, warehouses, ETL/ELT, integration platforms).">
  • - Strong MLOps expertise (Kubeflow, MLflow, Vertex AI, SageMaker, Azure ML, Airflow).">
  • - Hands-on skills with IaC & automation (Terraform, Ansible, Helm, GitOps).">
  • - Knowledge of DevOps & CI/CD for cloud and AI workloads.">
  • - Strong understanding of cloud security, compliance, and cost management.">
  • - Familiarity with vector and graph databases for AI-driven use cases a plus.">
">Benefits:">
  • - Competitive compensation, benefits, and career advancement opportunities.">
">

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