10,918 IT Infrastructure jobs in India

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:

Linkedin:

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:

Linkedin:

·    Azure Cloud Management

• Manage and monitor Azure cloud environments for optimal performance, scalability, and security.
  
• Configure and maintain Azure resources (e.g., VMs, Storage, Networking, Azure AD, DNS, App Services, Key Vault, Cosmos DB, Azure Functions).
  
• Implement and manage access controls, user roles, and permissions to ensure data security and compliance.
  
• Manage cloud networking, security, and access controls (e.g., DNS troubleshooting, private endpoints, IAM key rotation).
  

·    Multi-Cloud Knowledge & Flexibility

• Demonstrate working knowledge of other major cloud platforms such as Amazon Web Services (AWS) and Google Cloud Platform (GCP).
  
• Support integration and interoperability between Azure and other cloud environments (e.g., hybrid or multi-cloud solutions).
  
• Apply best practices for cloud architecture, security, and cost optimization across multiple cloud providers.
  
• Stay informed about new features, services, and trends in AWS, GCP, and other emerging cloud technologies.
  
• Assist in evaluating, recommending, and implementing cloud solutions that best fit business and technical requirements, regardless of platform.
  
• Troubleshoot and resolve issues related to cloud interoperability, networking, and data migration between different cloud providers.
  

·    Automation & Infrastructure as Code (IaC)

• Automate routine tasks and resource provisioning using Azure tools, scripts (PowerShell, Python, Bash), and IaC best practices.
  
• Apply automation for alerting, monitoring, and system updates.
  

·    AI & Integration

• Assist in deploying and optimizing AI-related workloads in Azure.
  
• Integrate Azure with other platforms (e.g., Snowflake, AWS, Google APIs).
  

·    Technical Excellence

• Deliver technically sound solutions with minimal rework or bugs.
  
• Diagnose and resolve complex technical issues (e.g., DNS, connection issues, cost analysis).
  
• Propose innovative or optimized solutions (e.g., automating alerts, optimizing cost analysis).
  
• Handle high-complexity or high-priority tasks with competence.
  

·    Documentation & Process

• Provide detailed documentation of processes, configurations, and best practices for internal teams.
  
• Maintain accurate and complete documentation within JIRA.
  
• Communicate clearly and concisely in JIRA comments and documentation.
  

·    Collaboration & Professionalism

• Collaborate effectively with team members and stakeholders, including cross-team tasks and onboarding.
  
• Respond promptly and constructively to feedback or questions.
  
• Share knowledge and support onboarding or upskilling of others.
  
• Demonstrate willingness to learn new technologies or processes and adapt quickly to changing project requirements.
  

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
  
• Minimum 5-7 years of experience as a Cloud Engineer or in a similar role.
  
• Demonstrated expertise in Microsoft Azure cloud services (VMs, Storage, Networking, Azure AD, DNS, App Services, Key Vault, Cosmos DB, Azure Functions).
  
• Experience with configuring and managing permissions and access controls in Azure.
  
• Proficiency in Infrastructure as Code (IaC) and automation (e.g., alert automation, resource provisioning).
  
• Familiarity with AI or machine learning platforms and their integration into cloud environments is a plus.
  
• Strong scripting skills (e.g., PowerShell, Python, or Bash) for automation and system management.
  
• Knowledge of monitoring tools and techniques for maintaining cloud infrastructure.
  
• Strong problem-solving skills, critical thinking, and root cause analysis.
  
• Ability to work independently or as part of a team.
  
• Excellent communication and documentation skills.
  

• Microsoft Certified: Azure Administrator Associate
  
• Microsoft Certified: Azure AI Engineer Associate (preferred but not mandatory)
  

• Consistently meets deadlines and delivers high-quality work with minimal need for rework or escalation.
  
• Accepts responsibility for outcomes, including mistakes or delays.
  
• Demonstrates professionalism, adaptability, and a proactive approach to learning and process improvement.
  

This role offers an exciting opportunity to work on cutting-edge cloud projects, drive innovation, and make a significant impact within a collaborative and forward-thinking team.

·    Azure Cloud Management

• Manage and monitor Azure cloud environments for optimal performance, scalability, and security.
  
• Configure and maintain Azure resources (e.g., VMs, Storage, Networking, Azure AD, DNS, App Services, Key Vault, Cosmos DB, Azure Functions).
  
• Implement and manage access controls, user roles, and permissions to ensure data security and compliance.
  
• Manage cloud networking, security, and access controls (e.g., DNS troubleshooting, private endpoints, IAM key rotation).
  

·    Multi-Cloud Knowledge & Flexibility

• Demonstrate working knowledge of other major cloud platforms such as Amazon Web Services (AWS) and Google Cloud Platform (GCP).
  
• Support integration and interoperability between Azure and other cloud environments (e.g., hybrid or multi-cloud solutions).
  
• Apply best practices for cloud architecture, security, and cost optimization across multiple cloud providers.
  
• Stay informed about new features, services, and trends in AWS, GCP, and other emerging cloud technologies.
  
• Assist in evaluating, recommending, and implementing cloud solutions that best fit business and technical requirements, regardless of platform.
  
• Troubleshoot and resolve issues related to cloud interoperability, networking, and data migration between different cloud providers.
  

·    Automation & Infrastructure as Code (IaC)

• Automate routine tasks and resource provisioning using Azure tools, scripts (PowerShell, Python, Bash), and IaC best practices.
  
• Apply automation for alerting, monitoring, and system updates.
  

·    AI & Integration

• Assist in deploying and optimizing AI-related workloads in Azure.
  
• Integrate Azure with other platforms (e.g., Snowflake, AWS, Google APIs).
  

·    Technical Excellence

• Deliver technically sound solutions with minimal rework or bugs.
  
• Diagnose and resolve complex technical issues (e.g., DNS, connection issues, cost analysis).
  
• Propose innovative or optimized solutions (e.g., automating alerts, optimizing cost analysis).
  
• Handle high-complexity or high-priority tasks with competence.
  

·    Documentation & Process

• Provide detailed documentation of processes, configurations, and best practices for internal teams.
  
• Maintain accurate and complete documentation within JIRA.
  
• Communicate clearly and concisely in JIRA comments and documentation.
  

·    Collaboration & Professionalism

• Collaborate effectively with team members and stakeholders, including cross-team tasks and onboarding.
  
• Respond promptly and constructively to feedback or questions.
  
• Share knowledge and support onboarding or upskilling of others.
  
• Demonstrate willingness to learn new technologies or processes and adapt quickly to changing project requirements.
  

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
  
• Minimum 5-7 years of experience as a Cloud Engineer or in a similar role.
  
• Demonstrated expertise in Microsoft Azure cloud services (VMs, Storage, Networking, Azure AD, DNS, App Services, Key Vault, Cosmos DB, Azure Functions).
  
• Experience with configuring and managing permissions and access controls in Azure.
  
• Proficiency in Infrastructure as Code (IaC) and automation (e.g., alert automation, resource provisioning).
  
• Familiarity with AI or machine learning platforms and their integration into cloud environments is a plus.
  
• Strong scripting skills (e.g., PowerShell, Python, or Bash) for automation and system management.
  
• Knowledge of monitoring tools and techniques for maintaining cloud infrastructure.
  
• Strong problem-solving skills, critical thinking, and root cause analysis.
  
• Ability to work independently or as part of a team.
  
• Excellent communication and documentation skills.
  

• Microsoft Certified: Azure Administrator Associate
  
• Microsoft Certified: Azure AI Engineer Associate (preferred but not mandatory)
  

• Consistently meets deadlines and delivers high-quality work with minimal need for rework or escalation.
  
• Accepts responsibility for outcomes, including mistakes or delays.
  
• Demonstrates professionalism, adaptability, and a proactive approach to learning and process improvement.
  

This role offers an exciting opportunity to work on cutting-edge cloud projects, drive innovation, and make a significant impact within a collaborative and forward-thinking team.

Job Description

We are looking for a experienced Azure Cloud DevOps Engineer to join our team. You have a strong background in DevOps practices, cloud solutions, and network engineering in Microsoft Azure. Your role will involve building a cloud environment that hosts mission-critical financial services applications used across Australia and New Zealand. This role is important for ensuring the delivery of high-quality, scalable, and secure Microsoft Azure cloud solutions.

Important Responsibilities:

Experience:

Qualifications

Qualifications:

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering. the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Benefits

Experian care for employee's work life balance, health, safety and wellbeing. To support this endeavor, we offer the best family well-being benefits, enhanced medical benefits and paid time off.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Cloud Infrastructure lead

We are seeking strong delivery focused technical expert in Microsoft 365, Identity and Access Management, and Platform technologies.

The candidate will also be required to draft a plan of delivery, manage delivery objectives, project manage major initiatives and ensure training and any other non-functional requirements are defined and delivered.

Willing to work on flexible shifts, to meet business objectives. Shift timings are subject to change as per job requirement.

Position Skills:
Strong Understanding of IT infrastructure technologies, person will be required to work with most of the technology leaders in the areas mentioned below and therefore a technology understanding in at least one of the three pillars is required.

Microsoft 365 Cloud services

Experience with configuring and troubleshooting Exchange Mail flow and SMTP gateways (Mimecast) and other user mailbox, shared mailbox configuration and support.

Microsoft 365 migration scenarios including Hybrid configuration, IMAP/Cutover/Staged Migrations

Active Directory Synchronization tool (AADConnect), Azure AD. managing SharePoint sites, OneDrive through admin portals and have worked on issues related to ODFB/SPO sync client.

MS Teams issues related to one-on-one chat and team in MS Teams

MS Teams SBC configuration and routing

SharePoint Administration, working with SharePoint developers including design, development and architecture.

Understanding of Power platform, architecture, licensing and support models

Platform Technologies

Understanding of Data protection, DLP, Cloud Security concepts

Understanding of modern device management and application virtualization concepts

Understanding of networking and routing concepts, DNS, DHCP

Identity & Access Management

Experience with Public Key infrastructure (PKI), digital signature and electronic signatures

Experience working with Public Cloud platforms, (Azure) preferably with a focus on PaaS services

Understanding of modern application architecture, onboarding PaaS services, DevSecOps

Understanding of Microsoft authentication, authorization, and modern applications



Excellent client-facing and internal communication and presentation skills

Proficiency in Excel, PowerPoint and Project Management software (, MS Project, JIRA,)

Ability to manage multiple projects simultaneously and work under pressure.

Strong problem-solving skills and attention to detail.

Analytical skills to interpret complex project data, identify potential issues, and devise effective solutions.


Basic Qualifications
Bachelors degree in computer science, Management Information Systems, or related field

Over 10 years of industry

Over 5 years of relevant experience

Position Knowledge and Abilities

Excellent communication skills, including experience in writing and presentation skills, as well as reviewing technical documentation

Broad understanding of the technology stack including security, network and server infrastructure & protocols and associated application technologies including database, web and analytics elements

Experience managing infrastructure in a mid-large sized company or multi-location company, preferred

Strong interest in continuously learning and understanding the newest technologies, and how they can be integrated into client infrastructure

Mandatory skills:
Project Management