894 Cloud Infrastructure jobs in India

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Job Description:

Google Cloud Infrastructure Support Engineer will be responsible for ensuring the reliability, performance, and security of our Google Cloud Platform (GCP) infrastructure. Work closely with cross-functional teams to troubleshoot issues, optimize infrastructure, and implement best practices for cloud architecture. Experience with Terraform for deploying and managing infrastructure templates. Administer BigQuery environments, including managing datasets, access controls, and optimize query performance. Be familiar with Vertex AI for monitoring and managing machine learning model deployments. Knowledge of GCP’s Kubernetes Engine and its integration with the cloud ecosystem. Understanding of cloud security best practices and experience with implementing security measures. Knowledge of setting up and managing data clean rooms within BigQuery. Understanding of the Analytics Hub platform and how it integrates with data clean rooms to facilitate sensitive data-sharing use cases. Knowledge of DataPlex and how it integrates with other Google Cloud services such as BigQuery, Dataproc Metastore, and Data Catalog.

Key Responsibilities:

• Provide technical support for our Google Cloud Platform infrastructure, including compute, storage, networking, and security services.
• Monitor system performance and proactively identify and resolve issues to ensure maximum uptime and reliability.
• Collaborate with cross-functional teams to design, implement, and optimize cloud infrastructure solutions.
• Automate repetitive tasks and develop scripts to streamline operations and improve efficiency.
• Document infrastructure configurations, processes, and procedures.

Qualifications:

Required:

• Strong understanding of GCP services, including Compute Engine, Kubernetes Engine, Cloud Storage, VPC networking, and IAM.
• Experience with BigQuery and VertexAI
• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• Experience with infrastructure as code tools such as Terraform or Google Deployment Manager.
• Strong communication and collaboration skills.
• Bachelor's Degree in Computer Science or related discipline, or the equivalent in education and work experience

Preferred:

• Google Cloud certification (e.g., Google Cloud Certified - Professional Cloud Architect, Google Cloud Certified - Professional Cloud DevOps Engineer)

Employee Type:
 

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Job Description

Technology : Cloud Infrastructure Engineer

Experience : 5+ Years

Contract Duration : 6 months

Payroll : Velodata

Budget : 80K / month

Shift Timing : 5 AM EST to 1 PM EST (3:30 PM IST to 11:30 PM IST)

Location : Remote

Joining : Immediate to 15 days

We are looking for an Azure Cloud Engineer who will play a critical role in building and evolving the infrastructure platform that powers our applications and services. The candidate should focus on designing and automating scalable, secure, and resilient cloud infrastructure with a strong emphasis on Kubernetes, Infrastructure as Code (Terraform), and GitOps workflows .

Responsibilities

• Architect and build infrastructure using Terraform and Git-based workflows, with a focus on repeatability, compliance, and automation.
• Design, deploy, and manage robust Kubernetes clusters, enforcing multi-tenant configurations, network policies, and security standards.
• Develop and maintain modular Terraform codebases and reusable templates to support various infrastructure use cases.
• Build automation and self-service patterns that streamline developer access to infrastructure while maintaining guardrails.
• Leverage both IaaS and PaaS cloud services to deliver scalable solutions aligned with business needs—compute, storage, networking, databases, messaging, identity, and more.
• Drive adoption of platform engineering patterns including GitOps, policy-as-code, and developer enablement tooling.
• Collaborate closely with application, security, and cloud architecture teams to integrate infrastructure into broader platform strategy.

Primary Skills

• 5+ years of experience in cloud engineering, infrastructure architecture, or platform engineering roles.
• Strong experience with Kubernetes operations and architecture in production environments.
• In-depth knowledge of cloud IaaS and PaaS services, designing reliable solutions leveraging them (VMs, load balancers, managed databases, identity platforms, messaging queues, etc.).
• Advanced proficiency in Terraform and Git-based infrastructure workflows.
• Experience building and maintaining CI/CD pipelines.
• Strong scripting abilities in Python, Bash, or PowerShell .
• Solid understanding of infrastructure security, governance, and identity best practices.
• Ability to collaborate effectively across engineering teams.

Secondary Skills (Good to Have)

• Familiarity with GitOps tooling .
• Experience with policy-as-code and container security best practices.
• Exposure to Microsoft Power Platform (Dynamics 365, PowerApps, etc.) .

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.

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Job Description

Technology : Cloud Infrastructure Engineer

Experience : 5+ Years

Contract Duration : 6 months

Payroll : Velodata

Budget : 80K / month

Shift Timing : 5 AM EST to 1 PM EST (3:30 PM IST to 11:30 PM IST)

Location : Remote

Joining : Immediate to 15 days

We are looking for an Azure Cloud Engineer who will play a critical role in building and evolving the infrastructure platform that powers our applications and services. The candidate should focus on designing and automating scalable, secure, and resilient cloud infrastructure with a strong emphasis on Kubernetes, Infrastructure as Code (Terraform), and GitOps workflows .

Responsibilities

• Architect and build infrastructure using Terraform and Git-based workflows, with a focus on repeatability, compliance, and automation.
• Design, deploy, and manage robust Kubernetes clusters, enforcing multi-tenant configurations, network policies, and security standards.
• Develop and maintain modular Terraform codebases and reusable templates to support various infrastructure use cases.
• Build automation and self-service patterns that streamline developer access to infrastructure while maintaining guardrails.
• Leverage both IaaS and PaaS cloud services to deliver scalable solutions aligned with business needs—compute, storage, networking, databases, messaging, identity, and more.
• Drive adoption of platform engineering patterns including GitOps, policy-as-code, and developer enablement tooling.
• Collaborate closely with application, security, and cloud architecture teams to integrate infrastructure into broader platform strategy.

Primary Skills

• 5+ years of experience in cloud engineering, infrastructure architecture, or platform engineering roles.
• Strong experience with Kubernetes operations and architecture in production environments.
• In-depth knowledge of cloud IaaS and PaaS services, designing reliable solutions leveraging them (VMs, load balancers, managed databases, identity platforms, messaging queues, etc.).
• Advanced proficiency in Terraform and Git-based infrastructure workflows.
• Experience building and maintaining CI/CD pipelines.
• Strong scripting abilities in Python, Bash, or PowerShell .
• Solid understanding of infrastructure security, governance, and identity best practices.
• Ability to collaborate effectively across engineering teams.

Secondary Skills (Good to Have)

• Familiarity with GitOps tooling .
• Experience with policy-as-code and container security best practices.
• Exposure to Microsoft Power Platform (Dynamics 365, PowerApps, etc.) .

Qualifications - External

JOB DESCRIPTION

Skill: Azure Infra Lead

Exp-6-10Yrs

Role / Tier: -Lead software engineer,Tier 2

Job Description:

Ø Azure Cloud Infrastructure Lead

Ø Has built an infrastructure environment for Azure from scratch

Ø Has worked on setting up vWANs in a hub and spoke model

Ø Has set up resource access between spokes via vWAN peering

Ø Has automated the infrastructure build using terraform within the devops cycle

Ø Has applied RBAC and security policies to the various resources as part of the build script

Ø Has created foundational components which can replicated across multiple environments

Good to Have
Exposure in building Azure IOT related resources (IOT Hub, DPS etc.)
Has exposure to dev ops pipeline setup and management using tools like Jenkins/Azure DevOps/Bamboo.

Qualifications - External

JOB DESCRIPTION

Skill: Azure Infra Lead

Exp-6-10Yrs

Role / Tier: -Lead software engineer,Tier 2

Job Description:

Ø Azure Cloud Infrastructure Lead

Ø Has built an infrastructure environment for Azure from scratch

Ø Has worked on setting up vWANs in a hub and spoke model

Ø Has set up resource access between spokes via vWAN peering

Ø Has automated the infrastructure build using terraform within the devops cycle

Ø Has applied RBAC and security policies to the various resources as part of the build script

Ø Has created foundational components which can replicated across multiple environments

Good to Have
Exposure in building Azure IOT related resources (IOT Hub, DPS etc.)
Has exposure to dev ops pipeline setup and management using tools like Jenkins/Azure DevOps/Bamboo.