Cloud Infrastructure Architect

Cloud IaaS Architect with SaaS & MLOps Expertise

Position:

Experience Required:

Location:

Employment Type:

About the Role

Cloud Infrastructure Architect

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/