Cloud Infrastructure Architect

Cloud IaaS Architect with SaaS & MLOps Expertise
Position: Cloud Infrastructure Architect (IaaS/SaaS, Data & MLOps)
Experience Required: 12–15 Years
Location: Noida
Employment Type: Full-Time
About the Role
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. This role requires a balance of deep technical architecture skills , hands-on engineering experience , and strategic leadership in building modern, cloud-native platforms.
Key Responsibilities
Cloud Architecture & Delivery (IaaS & SaaS)
Design, architect, and implement cloud-native IaaS platforms (AWS, Azure, GCP).
Enable SaaS capabilities including multi-tenancy, subscription management, security, and compliance.
Define infrastructure-as-code (IaC) patterns using Terraform, Ansible, or CloudFormation.
Architect scalable, secure, and resilient cloud platforms for enterprise applications.
Drive cost optimization, governance, and automation of cloud environments.
Data Consolidation & Management
Lead design of data consolidation strategies across structured, semi-structured, and unstructured sources.
Implement data lakes, lakehouses, and data pipelines to unify enterprise data.
Ensure compliance with data security, governance, and lineage requirements.
Enable enterprise analytics and AI/ML workloads through consolidated data platforms.
MLOps & AI/ML Enablement
Architect and implement MLOps frameworks for model training, deployment, monitoring, and lifecycle management.
Integrate AI/ML workflows with data lakes, vector databases, and cloud-native pipelines .
Collaborate with data scientists and ML engineers to operationalize models at scale.
Build CI/CD for ML (CI/CD/CT) pipelines ensuring reproducibility and scalability.
Collaboration & Leadership
Partner with application teams, data engineers, and business stakeholders to deliver cloud transformation programs.
Provide technical leadership and mentorship for cross-functional cloud engineering teams.
Define best practices, reference architectures, and guardrails for cloud, data, and MLOps delivery .
Act as a trusted advisor to CXOs on cloud adoption and AI-driven innovation .
Required Skills & Experience
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.
Preferred Qualifications
Cloud certifications: AWS Solutions Architect Professional, GCP Professional Cloud Architect, or Azure Solutions Architect Expert .
MLOps/AI certifications: TensorFlow, PyTorch, or vendor-specific AI/ML certifications .
Experience in multi-cloud and hybrid architectures .
Industry domain exposure in BFSI, Healthcare, Retail, or Telecom .
Education
Bachelor's or Master's in Computer Science, Engineering, or related fields .
Advanced certifications in Cloud, Data, or AI/ML highly desirable.
Why Join Us
Lead enterprise-wide cloud and AI transformations with next-gen architectures.
Work on cutting-edge SaaS, MLOps, and cloud-native solutions .
Collaborate with global teams and CXOs on high-impact projects.
Competitive compensation, benefits, and career advancement opportunities.
Think global. Think BIG.
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