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Cloud Infrastructure Architect

Cloud Infrastructure Architect

ConfidentialNoida, India
9 days ago
Job description

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.

    Visit us : https : / / biglanguage.com

    Linkedin : https : / / www.linkedin.com / company / big-language-solutions / mycompany /

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    Skills Required

    Airflow, Compliance, Cloud Security, Terraform, Aws, Cloudformation, Saas, Cost Management, Iaas, Devops, Azure ML, Gcp, MLops, Ansible, graph databases , Azure

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