1,445 Cloud Specialist jobs in India

KV Tech Solutions Pvt Ltd embodies the spirit of innovation and adaptability in today's rapidly evolving digital landscape. Our mission is to transform businesses with Google Cloud excellence. We are a team of experts dedicated to providing cutting-edge solutions in areas like VM migrations, Generative AI, data transformation, and predictive analytics. To learn more about our work, visit our website at

The Role: Google Cloud Specialist

We are seeking a highly motivated and experienced Google Cloud Specialist to join our team in a full-time, remote capacity. This role is ideal for a candidate who is ready to leverage their hands-on experience and Google Professional Certification to design, implement, and deploy cutting-edge cloud and data solutions for our clients.

Salary Range: 3.5 LPA to 4 LPA

Your Responsibilities

As a Google Cloud Specialist, you will be a key contributor to our client projects, applying your expertise across the Google Cloud ecosystem.

You will:

• Design and deploy robust full-stack applications using serverless technologies like Google Cloud Run or App Engine.
• Develop and implement scalable data pipelines for batch and streaming data, including deploying jobs to Dataproc to process and load data into BigQuery.
• Deploy, manage, and monitor Machine Learning (ML) models for online and batch predictions using Vertex AI Endpoints and Model Registry.
• Work on projects involving advanced areas like VM migrations, Generative AI, data transformation, and predictive analytics.
• Contribute to meaningful solutions for clients in industries such as Healthcare, Government, Retail, and Telecom.
• Design and deploy secure, well-architected cloud environments and application development/secure landing zones.
• Stay current with new Google Cloud features and services to recommend and implement optimal client solutions.

Required Skills & Qualifications

Please note: Only candidates meeting the following mandatory requirements will be considered for this role.

• Experience: 1 to 3 years of hands-on, verifiable experience working with Google Cloud technologies.
• Certification: Must possess a current, valid Google Professional Certification (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Cloud Developer, etc.).

Candidates must possess a strong subset of the following technical skills:

• Demonstrable experience in deploying applications to serverless platforms like Cloud Run or App Engine.
• Practical experience in building and executing data processing jobs/pipelines using technologies like Dataproc, and data warehousing on BigQuery.
• Proficiency in the Vertex AI platform for model deployment, including creating a Model Registry entry and deploying to a managed Endpoint for online serving.
• Deep understanding of IT concepts, cloud computing principles, and the Google Cloud Platform (GCP) service portfolio.
• Excellent problem-solving skills, a proactive attitude, and the ability to work independently in a remote setting.

Interview & Application Requirements

To ensure candidates have practical, up-to-date skills, the interview process will include a hands-on demonstration:

• Pre-Interview Task: Interested candidates must be able to utilize their free Google Cloud trial account.
• Interview Demonstration: Be prepared to demo foundational knowledge and practical application of the following concepts:
• Google Cloud Foundation Fabric (Demonstrate your ability to establish core GCP networking, security, and resource hierarchy principles).
• Google Agentspace (Showcase your understanding or a basic demo of using Google's generative AI tools or services for a practical business application).

Added Advantage

• Familiarity with Infrastructure as Code (e.g., Terraform).
• Experience with Python (especially the Vertex AI SDK), Go, or other relevant programming languages for application, data pipeline, and ML development.
• Exposure to containerization and orchestration (e.g., Docker, Kubernetes, Artifact Registry).

To Apply

Please submit your resume and a cover letter detailing your 1-3 years of Google Cloud experience, the Google Professional Certification you hold (including the date of achievement), and your readiness to complete the required interview demo.

FinOps - Cloud Specialist

Exp: 8 to 12

Location: Bangalore, Noida

Job Description:

Position Overview (Job Summary):

The Azure FinOps Specialist will be responsible for managing and optimizing cloud financial operations within Microsoft Azure environments. This role focuses on cost transparency, accountability, and optimization across cloud resources, ensuring financial efficiency and governance. The specialist will collaborate with engineering, finance, and operations teams to drive cloud cost management strategies and ensure alignment with business goals.

Primary Skills:

• Azure Cost Management + Billing
• Apptio Cloudability
• Cloud Financial Planning & Analysis
• Budgeting & Forecasting
• Cost Optimization Techniques
• Cloud Governance & Policy Implementation
• Tagging Strategy & Resource Group Management
• KPI Tracking & Reporting

Secondary Skills:

• Stakeholder Communication
• Risk Assessment & Mitigation
• Internal Controls & Compliance
• Financial Reporting & Insights
• Alerting & Monitoring Tools (e.g., Azure Monitor, Log Analytics)

Experience:

• Proven track record of implementing cost-saving initiatives in cloud environments
• Experience managing multi-subscription Azure environments

Role and Responsibilities:

A. Key Responsibilities

1. Monitor and manage Azure costs across subscriptions and resource groups
2. Develop and implement cost optimization strategies
3. Ensure financial accountability across teams and departments
4. Prepare and present financial reports and forecasts
5. Implement governance policies to control and forecast cloud expenses
6. Maintain compliance with financial regulations and internal controls

B. Additional Responsibilities

1. Respond to unexpected spikes in cloud usage or costs
2. Define and enforce tagging strategies for cost tracking
3. Collaborate with cross-functional teams to align cloud spend with business goals
4. Track KPIs to measure FinOps effectiveness
5. Stay updated with Azure FinOps tools and best practices

• Provide first-level technical support to customers via email, chat, and phone, resolving issues related to cloud platform functionality, account management, and basic troubleshooting.
• Diagnose and troubleshoot complex technical problems, escalating to higher-tier support or engineering teams when necessary.
• Guide customers through product features, configuration, and best practices.
• Document all customer interactions, issues, and resolutions accurately in our ticketing system.
• Create and maintain a knowledge base of common issues and their solutions.
• Identify trends in customer issues and provide feedback to the product and engineering teams for service improvement.
• Ensure customer satisfaction by delivering timely, accurate, and professional support.
• Monitor system performance and alert relevant teams to potential issues.
• Assist with onboarding new customers and providing initial setup guidance.
• Contribute to the continuous improvement of support processes and customer service standards.

• Proven experience in a technical support role, preferably with SaaS or cloud-based products.
• Strong understanding of cloud computing concepts (e.g., IaaS, PaaS, SaaS, virtualization).
• Excellent problem-solving and analytical skills.
• Proficiency in operating systems (Windows, Linux) and common web technologies.
• Familiarity with networking concepts (TCP/IP, DNS, firewalls) is advantageous.
• Exceptional communication skills, both written and verbal, with the ability to explain technical concepts clearly to non-technical users.
• Patience, empathy, and a customer-centric attitude.
• Ability to work independently and manage time effectively in a remote environment.
• Experience with ticketing systems (e.g., Zendesk, Jira Service Desk) and remote support tools.
• A degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

We are looking for an experienced IT & Cloud Specialist to drive cloud adoption, enterprise IT strategy, and architecture planning. The ideal candidate has a technical background and deep experience in cloud platforms, cybersecurity, and regulatory compliance.

Key Responsibilities

• Lead cloud migration and IT transformation initiatives.
• Evaluate cloud vendors, conduct cost-benefit and feasibility analyses.
• Design secure architectures, including Zero-Trust and sovereign cloud.
• Support AI/ML workloads and ensure compliance with GDPR, HIPAA, etc.

Required Skills & Competencies

• In-depth experience with cloud platforms (AWS, Azure, GCP) and enterprise IT strategy .
• Strong knowledge of Zero-Trust Architectures , sovereign cloud , and AI/ML workloads.
• Familiarity with cybersecurity standards and regulatory compliance (GDPR, HIPAA).
• Excellent analytical, communication, and vendor management skills.

Qualifications

• Bachelor's degree in Computer Science , Information Systems , or Engineering .
• 5+ years of experience in enterprise architecture , IT consulting , or cloud transformation .
• Certifications : AWS, Azure, or GCP preferred; ITIL Foundation a plus.

Benefits:

• Competitive compensation based on experience and expertise.
• Flexible working hours and remote work environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.

Perks of Freelancing with Turing:

• Work on the cutting edge of AI.
• Fully remote and flexible work environment.
• Exposure to advanced LLMs and insight into how they’re trained.

Offer Details:

• Commitments Required: 40 hours per week with 4 hours of overlap with PST.
• Engagement type: Contractor assignment/freelancer (no medical/paid leave)
• Duration: 1 month.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

We are looking for an experienced IT & Cloud Specialist to drive cloud adoption, enterprise IT strategy, and architecture planning. The ideal candidate has a technical background and deep experience in cloud platforms, cybersecurity, and regulatory compliance.

Key Responsibilities

• Lead cloud migration and IT transformation initiatives.
• Evaluate cloud vendors, conduct cost-benefit and feasibility analyses.
• Design secure architectures, including Zero-Trust and sovereign cloud.
• Support AI/ML workloads and ensure compliance with GDPR, HIPAA, etc.

Required Skills & Competencies

• In-depth experience with cloud platforms (AWS, Azure, GCP) and enterprise IT strategy .
• Strong knowledge of Zero-Trust Architectures , sovereign cloud , and AI/ML workloads.
• Familiarity with cybersecurity standards and regulatory compliance (GDPR, HIPAA).
• Excellent analytical, communication, and vendor management skills.

Qualifications

• Bachelor's degree in Computer Science , Information Systems , or Engineering .
• 5+ years of experience in enterprise architecture , IT consulting , or cloud transformation .
• Certifications : AWS, Azure, or GCP preferred; ITIL Foundation a plus.

Benefits:

• Competitive compensation based on experience and expertise.
• Flexible working hours and remote work environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.

Perks of Freelancing with Turing:

• Work on the cutting edge of AI.
• Fully remote and flexible work environment.
• Exposure to advanced LLMs and insight into how they’re trained.

Offer Details:

• Commitments Required: 40 hours per week with 4 hours of overlap with PST.
• Engagement type: Contractor assignment/freelancer (no medical/paid leave)
• Duration: 1 month.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

We are looking for an experienced IT & Cloud Specialist to drive cloud adoption, enterprise IT strategy, and architecture planning. The ideal candidate has a technical background and deep experience in cloud platforms, cybersecurity, and regulatory compliance.

Key Responsibilities

• Lead cloud migration and IT transformation initiatives.
• Evaluate cloud vendors, conduct cost-benefit and feasibility analyses.
• Design secure architectures, including Zero-Trust and sovereign cloud.
• Support AI/ML workloads and ensure compliance with GDPR, HIPAA, etc.

Required Skills & Competencies

• In-depth experience with cloud platforms (AWS, Azure, GCP) and enterprise IT strategy .
• Strong knowledge of Zero-Trust Architectures , sovereign cloud , and AI/ML workloads.
• Familiarity with cybersecurity standards and regulatory compliance (GDPR, HIPAA).
• Excellent analytical, communication, and vendor management skills.

Qualifications

• Bachelor's degree in Computer Science , Information Systems , or Engineering .
• 5+ years of experience in enterprise architecture , IT consulting , or cloud transformation .
• Certifications : AWS, Azure, or GCP preferred; ITIL Foundation a plus.

Benefits:

• Competitive compensation based on experience and expertise.
• Flexible working hours and remote work environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.

Perks of Freelancing with Turing:

• Work on the cutting edge of AI.
• Fully remote and flexible work environment.
• Exposure to advanced LLMs and insight into how they’re trained.

Offer Details:

• Commitments Required: 40 hours per week with 4 hours of overlap with PST.
• Engagement type: Contractor assignment/freelancer (no medical/paid leave)
• Duration: 1 month.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

We are looking for an experienced IT & Cloud Specialist to drive cloud adoption, enterprise IT strategy, and architecture planning. The ideal candidate has a technical background and deep experience in cloud platforms, cybersecurity, and regulatory compliance.

Key Responsibilities

• Lead cloud migration and IT transformation initiatives.
• Evaluate cloud vendors, conduct cost-benefit and feasibility analyses.
• Design secure architectures, including Zero-Trust and sovereign cloud.
• Support AI/ML workloads and ensure compliance with GDPR, HIPAA, etc.

Required Skills & Competencies

• In-depth experience with cloud platforms (AWS, Azure, GCP) and enterprise IT strategy .
• Strong knowledge of Zero-Trust Architectures , sovereign cloud , and AI/ML workloads.
• Familiarity with cybersecurity standards and regulatory compliance (GDPR, HIPAA).
• Excellent analytical, communication, and vendor management skills.

Qualifications

• Bachelor's degree in Computer Science , Information Systems , or Engineering .
• 5+ years of experience in enterprise architecture , IT consulting , or cloud transformation .
• Certifications : AWS, Azure, or GCP preferred; ITIL Foundation a plus.

Benefits:

• Competitive compensation based on experience and expertise.
• Flexible working hours and remote work environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.

Perks of Freelancing with Turing:

• Work on the cutting edge of AI.
• Fully remote and flexible work environment.
• Exposure to advanced LLMs and insight into how they’re trained.

Offer Details:

• Commitments Required: 40 hours per week with 4 hours of overlap with PST.
• Engagement type: Contractor assignment/freelancer (no medical/paid leave)
• Duration: 1 month.