Cloud Infrastructure Architect

7 days ago


Noida, India BIG Language Solutions Full time

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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