Add office photos
Employer?
Claim Account for FREE
Google Cloud
4.5
based on 24 Reviews
Company Overview
Company Locations
Working at Google Cloud
Company Summary
Overall Rating
4.5/5
based on 24 reviews
Highly rated for
Work-life balance, Skill development, Company culture
Critically rated for
Promotions
Work Policy
Monday to Friday
93% employees reported
Flexible timing
73% employees reported
No travel
52% employees reported
Day shift
100% employees reported
View detailed work policy
Top Employees Benefits
Free meal
3 employees reported
Office gym
3 employees reported
Health insurance
3 employees reported
Office cab/shuttle
2 employees reported
View all benefits
About Google Cloud
Founded in--
India Employee Count--
Global Employee Count--
Headquarters--
Office Locations
--
Websitecloud.google.com
Primary Industry
--
Other Industries
--
Are you managing Google Cloud's employer brand? To edit company information,
claim this page for free
Managing your company's employer brand?
Claim this Company Page for FREE
Google Cloud Ratings
based on 24 reviews
Overall Rating
4.5/5
How AmbitionBox ratings work?
5
13
4
8
3
1
2
1
1
1
Category Ratings
4.5
Work-life balance
4.3
Skill development
4.2
Company culture
4.1
Work satisfaction
3.7
Salary
3.4
Job security
3.2
Promotions
Google Cloud is rated 4.5 out of 5 stars on AmbitionBox, based on 24 company reviews. This rating reflects a generally positive employee experience, indicating satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
Read more
Google Cloud Reviews
Compare Google Cloud with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 4.5/5 based on 24 reviews | 3.7/5 based on 91.5k reviews | 3.7/5 based on 51.2k reviews | 3.8/5 based on 57.7k reviews |
Highly Rated for | Work-life balance Skill development Company culture | Job security Work-life balance | No highly rated category | Job security Company culture |
Critically Rated for | Promotions | Promotions Salary Work satisfaction | Promotions Salary | Promotions |
Primary Work Policy | - | Work from office 81% employees reported | Hybrid 72% employees reported | Hybrid 74% employees reported |
Rating by Women Employees | 4.7 Excellent rated by 4 women | 3.7 Good rated by 26.5k women | 3.8 Good rated by 16.3k women | 3.9 Good rated by 21.7k women |
Rating by Men Employees | 4.4 Good rated by 19 men | 3.6 Good rated by 59.8k men | 3.7 Good rated by 32.3k men | 3.8 Good rated by 33.4k men |
Job security | 3.4 Average | 4.5 Good | 3.6 Good | 3.8 Good |
View more
Google Cloud Salaries
Google Cloud salaries have received with an average score of 3.7 out of 5 by 24 employees.
Cloud Engineer
(5 salaries)
Unlock
₹12 L/yr - ₹30 L/yr
Cloud Architect
(5 salaries)
Unlock
₹46 L/yr - ₹85 L/yr
Data Management Analyst
(5 salaries)
Unlock
₹7 L/yr - ₹14 L/yr
Technical Account Manager
(5 salaries)
Unlock
₹35.5 L/yr - ₹50 L/yr
Program Manager
(5 salaries)
Unlock
₹19 L/yr - ₹24 L/yr
Software Engineer
(5 salaries)
Unlock
₹35 L/yr - ₹45 L/yr
Senior Solution Consultant
(5 salaries)
Unlock
₹50.8 L/yr - ₹78.7 L/yr
Security Supervisor
(5 salaries)
Unlock
₹2.4 L/yr - ₹4.2 L/yr
Technical Solutions Engineer
(5 salaries)
Unlock
₹20 L/yr - ₹34.5 L/yr
Data Scientist
(4 salaries)
Unlock
₹12.5 L/yr - ₹1 Cr/yr
Google Cloud News
View all
Meta has revenue sharing agreements with Llama AI model hosts, filing reveals
- Meta makes money from revenue-sharing agreements with companies hosting its Llama AI models, according to a court filing in the Kadrey v. Meta copyright lawsuit.
- The filing does not reveal which specific hosts pay Meta, but potential hosts include AWS, Nvidia, Dell, and Google Cloud.
- Mark Zuckerberg mentioned the possibility of licensing access to Llama models and monetizing them through various methods, including business messaging services and ads.
- Plaintiffs in the lawsuit claim that Meta used pirated works to develop Llama and facilitated infringement by uploading them.
TechCrunch | 22 Mar, 2025
Comparing Wisdom Server with Other AI Cloud Computing Platforms
- Wisdom Server is a high-performance AI cloud computing platform designed specifically for AI workloads, utilizing NVIDIA GPUs to optimize deep learning and neural network training.
- In comparison to other platforms such as AWS, Google Cloud, and Microsoft Azure, Wisdom Server offers pre-configured AI frameworks, flexible pricing models, and lower costs for GPU acceleration.
- While AWS and Google Cloud provide GPU instances, they require manual optimization for AI workloads, whereas Wisdom Server comes pre-configured for AI development.
- In terms of cost, Wisdom Server offers more affordable and transparent pricing compared to offerings from AWS, Google Cloud, and Microsoft Azure.
Medium | 21 Mar, 2025
Scaling up: Nvidia redefines the computing stack with new releases for the AI factory
- Nvidia CEO Jensen Huang redefined the computing stack for AI at GTC, emphasizing the need to scale up before scaling out.
- Nvidia introduced Blackwell Ultra NVL72 with 600,000 components per data center rack to handle advanced AI reasoning workloads.
- Future upgrades include next-generation Rubin with 144 GPUs by next year leading to 576 GPUs by 2027.
- To address network bottlenecks, Nvidia released Spectrum-X Ethernet and Quantum-X800 InfiniBand systems for increased data throughput.
- Nvidia unveiled Dynamo, open-source inferencing software, aiming to boost efficiency in AI model token generation.
- Huang highlighted the transition of Nvidia into an AI factory, focusing on helping customers generate revenue through AI implementations.
- Nvidia's transparent product roadmap release for Blackwell and Rubin reflects a unique market philosophy aimed at enabling its ecosystem.
- Nvidia's collaboration approach allows it to work with various AI companies and tech giants like Amazon, Microsoft, and Google Cloud to build AI platforms.
- GTC serves as a significant platform bringing together industry experts and luminaries to discuss the impact and future of AI and accelerated computing.
- Nvidia's bold moves in divulging its roadmap reflect its commitment to enabling the ecosystem and driving innovation in the AI industry.
Siliconangle | 20 Mar, 2025
Reflections on our Portfolio Day
- Highlights and complete sessions of the Portfolio Day have been uploaded to the YouTube channel.
- Panel discussion on Europe's competitiveness in AI, featuring experts from Hawk, Cognigy, Google Cloud, and AI development and safety.
- Insights into raising growth capital in tough markets from Cognigy, Lanes & Planes, Eurazeo, Noteus Partners, and POELLATH Partner.
- Discussion on expanding from Europe to the US with investors and portfolio companies Job&Talent and Leapwork.
Medium | 20 Mar, 2025
Flare x Google Cloud Hackathon Advances AI and Blockchain Verifiability
- A hackathon organized by Flare and Google Cloud focused on exploring how blockchains can facilitate AI-driven computation without compromising verifiability.
- Participants made use of Google Cloud Confidential Space and the Flare blockchain to guarantee the accurate execution of AI computations without external intervention.
- A notable project called 2DeFi was created, addressing the transition from traditional finance (TradFi) to decentralized finance (DeFi) using AI.
- The Flare AI Kit, an open-source SDK for creating verified AI agents on Flare with Google Cloud Confidential Space, was formally launched during the hackathon.
TheNewsCrypto | 19 Mar, 2025
How Onix and Google Cloud are redefining patient care
- Onix Networking Corp. has launched a tool called Expanse that summarizes electronic health record data for healthcare providers.
- The search and summarization tool can crawl through electronic health records, bring together relevant information, and create executive summaries for physicians.
- The tool aims to support clinical decision making and provide the most important points about a patient to help physicians make accurate diagnoses.
- Onix and Google Cloud have a longstanding partnership that leverages AI-powered healthcare innovations to reduce administrative burdens on healthcare providers and enhance patient care.
Siliconangle | 19 Mar, 2025
Why Moving from US Cloud to EU Cloud is Still a Big Question:
- The debate between US-based hyperscalers and EU-based cloud providers has intensified as businesses rely more on cloud computing.
- Challenges in transitioning from US cloud giants to European providers include scalability, availability, and service range.
- US hyperscalers like AWS, Google Cloud, and Azure dominate the market due to their extensive infrastructure and service offerings.
- EU cloud providers, such as Scaleway, UpCloud, Hetzner, and OVH, cater more to regional markets and face limitations in scale and breadth of services.
- The shift to EU cloud providers is hindered by issues with scalability, redundancy, service offerings, and competition with mid-tier providers like DigitalOcean.
- Concerns such as data sovereignty, compliance, and reliance on US hyperscalers persist, making large-scale migration to EU clouds rare.
- Companies often choose to stay with US hyperscalers due to strong business incentives, high migration costs, and the lack of enterprise-grade features in EU clouds.
- However, certain businesses focusing on privacy, public sector organizations, and those adopting hybrid cloud strategies may opt for EU-based cloud services for specific needs.
- EU cloud providers may find more success targeting companies still running on-site infrastructure, offering benefits like easier migration processes and compliance.
- While EU cloud providers are evolving, they still lag behind US hyperscalers in terms of scalability, service diversity, and global infrastructure.
- Ultimately, using a hybrid cloud model combining EU cloud services for compliance and US hyperscalers for advanced capabilities is a pragmatic strategy until EU providers bridge the innovation and availability gaps.
Dev | 19 Mar, 2025
Generative AI in Diagnostics: Quest Partners with Google Cloud for Enhanced Data Insights
- Quest Diagnostics partners with Google Cloud to enhance data management and analytics
- Integration of Google Agentspace to automate complex tasks and improve customer experience
- Utilizing Google Cloud's data analytics tools to gain deeper insights from vast data sets
- Collaboration aims to deliver personalized health insights and improve patient care
Hitconsultant | 19 Mar, 2025
AI’s future in healthcare: A balancing act of innovation and responsibility
- AI in healthcare is advancing rapidly, but concerns arise regarding data privacy, regulation, explainability, and human involvement in decision-making.
- Google Cloud's Aashima Gupta and Cognizant's Ramaswamy Rajagopal discuss AI in healthcare, emphasizing the need for self-regulation and best practices.
- Ensuring enterprise-grade privacy security is crucial for building trust in AI applications touching patients and clinical diagnostics.
- AI solutions in healthcare must prioritize explainability, transparency, and trust, backed by accurate and diverse datasets for model training.
- Organizations need to proactively adapt AI strategies to comply with evolving regulations and maintain patient safety.
- Balancing AI efficiency with strict privacy laws like HIPAA in healthcare requires adherence to legal requirements to avoid unintended consequences.
- Human involvement remains essential in healthcare decision-making, and AI should complement, not replace, human compassion and empathy.
- Anticipating future regulations and integrating change management strategies are key for AI-driven decisions to align with legal and ethical standards.
- Continuous evaluation of AI models for compliance and transparent data usage through industry standards like a 'constant color model card' are imperative.
- In healthcare, AI should incorporate empathetic elements alongside scientific decisions, recognizing the importance of human compassion in patient care.
Siliconangle | 19 Mar, 2025
Building trust in AI: The key to healthcare’s digital transformation
- AI is revolutionizing healthcare by enhancing patient care and addressing administrative burdens.
- Trust, governance, and ethical implementation are crucial for the success of AI in healthcare.
- Establishing strong foundational elements is essential for AI in healthcare to reach its full potential.
- Google Cloud's Aashima Gupta emphasizes the importance of trust in AI adoption in healthcare.
- Accenture's Nneka Emegwa and Aashima Gupta discuss trust in AI adoption, addressing ethical concerns, and AI-driven digital agents in healthcare.
- Trust is the cornerstone of AI adoption in healthcare, ensuring reliable and transparent AI-driven decisions.
- Establishing AI principles, governance frameworks, and evaluation criteria is key in healthcare.
- AI in healthcare can help identify and mitigate bias in healthcare data for equitable care access.
- Continuous evaluation and oversight are crucial in addressing bias in AI-driven insights.
- The future of AI in healthcare includes smarter systems and AI-driven digital agents enhancing patient care.
Siliconangle | 18 Mar, 2025
Powered by
Compare Google Cloud with
Infosys
3.6
Wipro
3.7
Capgemini
3.7
HCLTech
3.5
Tech Mahindra
3.5
Genpact
3.8
IBM
4.0
Deloitte
3.8
LTIMindtree
3.8
ICICI Bank
4.0
HDFC Bank
3.9
Amazon
4.1
Concentrix Corporation
3.8
Axis Bank
3.8
Teleperformance
3.9
Kotak Mahindra Bank
3.7
Larsen & Toubro Limited
4.0
Reliance Industries
4.0
Reliance Retail
3.9
Jio
4.0
Edit your company information by claiming this page
Contribute & help others!
You can choose to be anonymous
Companies Similar to Google Cloud
HCLTech
Telecom, Education & Training, Hardware & Networking, Banking, Emerging Technologies, IT Services & Consulting, Software Product
3.5
• 36.9k reviews
Tech Mahindra
BPO/KPO, Consulting, Analytics & KPO, Engineering & Construction, IT Services & Consulting
3.5
• 35.8k reviews
Deloitte
IT Services & Consulting, Accounting & Auditing, Management Consulting
3.8
• 18.1k reviews
LTIMindtree
BPO/KPO, IT Services & Consulting
3.8
• 21.4k reviews
Google Cloud FAQs
Does Google Cloud have good work-life balance?
Google Cloud has a work-life balance rating of 4.5 out of 5 based on 20+ employee reviews on AmbitionBox. 88% employees rated Google Cloud 4 or above on work-life balance. This rating reflects the company's efforts to help employees maintain a healthy balance between their personal and professional lives. We encourage you to read Google Cloud reviews for more details
Is Google Cloud good for career growth?
Career growth at Google Cloud is rated as moderate, with a promotions and appraisal rating of 3.2. 12% employees rated Google Cloud 3 or below, while 88% employees rated it 4 or above on promotions/appraisal. This rating suggests that while some employees view growth opportunities favorably, there is scope for improvement based on employee feedback. We recommend reading Google Cloud reviews for more detailed insights.
What are the pros and cons of working in Google Cloud?
Working at Google Cloud comes with several advantages and disadvantages. It is highly rated for work life balance, skill development and company culture. However, it is poorly rated for promotions / appraisal, based on 20+ employee reviews on AmbitionBox.
Stay ahead in your career. Get AmbitionBox app
Helping over 1 Crore job seekers every month in choosing their right fit company
75 Lakh+
Reviews
5 Lakh+
Interviews
4 Crore+
Salaries
1 Cr+
Users/Month
Contribute to help millions
Get AmbitionBox app
Made with ❤️ in India. Trademarks belong to their respective owners. All rights reserved © 2024 Info Edge (India) Ltd.
Follow us
