Cloud infrastructure architect

Cloud Iaa S Architect with Saa S & MLOps Expertise Position: Cloud Infrastructure Architect (Iaa S/Saa S, 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 Iaa S, Saa S 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 (Iaa S & Saa S) Design, architect, and implement cloud-native Iaa S platforms (AWS, Azure, GCP). Enable Saa S capabilities including multi-tenancy, subscription management, security, and compliance. Define infrastructure-as-code (Ia C) patterns using Terraform, Ansible, or Cloud Formation. 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 Iaa S platforms (VMs, networking, storage, Kubernetes, security) on AWS/Azure/GCP. Proven experience in Saa S 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, Sage Maker, Azure ML, Airflow). Hands-on skills with Ia C & automation (Terraform, Ansible, Helm, Git Ops). Knowledge of Dev Ops & 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: Tensor Flow, Py Torch, 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 Saa S, 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. Visit us: Linkedin: