Cloud Infrastructure Architect

BIG Language Solutions; Dadri; On-site; INR 1,500,000 - 2,000,000; Full time

Benefits offered by this job

Competitive compensation

Career advancement opportunities

Work on cutting-edge technologies

Job summary

A leading technology solutions provider in Uttar Pradesh is seeking a Cloud IaaS Architect with expertise in SaaS and MLOps. The ideal candidate will design and implement cloud architectures, lead data consolidation strategies, and integrate AI/ML workflows. Candidates should have 12–15 years of IT experience and strong understanding of data management, cloud security, and DevOps practices. Competitive compensation and career advancement opportunities are offered.

Qualifications

• 12–15 years of IT experience with 5+ years as a Cloud Architect.
• Deep understanding of data lakes, ETL/ELT, and integration platforms.
• Experience with infrastructure-as-code (IaC) and automation.

Responsibilities

• Design and implement cloud-native IaaS platforms.
• Enable SaaS capabilities including multi-tenancy and security.
• Lead design of data consolidation strategies.

Skills

Cloud architecture design

IaaS and SaaS implementation

Data consolidation

MLOps implementation

DevOps practices

Education

Bachelor’s or Master’s in Computer Science, Engineering, or related fields

Tools

Terraform

Ansible

CloudFormation

AWS

Azure

GCP

Job description

Cloud IaaS Architect with SaaS & MLOps Expertise

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.
• 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.
• Deep understanding of data consolidation (data lakes, warehouses, ETL/ELT, integration platforms).
• 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.

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