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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
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Websitecloud.google.com
Primary Industry
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Other Industries
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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 | 4.0/5 based on 22.2k reviews | 4.0/5 based on 750 reviews | 4.5/5 based on 23 reviews |
Highly Rated for | Work-life balance Skill development Company culture | Work-life balance Skill development Job security | Salary Skill development Company culture | Skill development Work-life balance Company culture |
Critically Rated for | Promotions | Promotions | No critically rated category | No critically rated category |
Primary Work Policy | - | Hybrid 80% employees reported | Permanent work from home 38% employees reported | - |
Rating by Women Employees | 4.7 Excellent rated by 4 women | 4.0 Good rated by 7k women | 4.1 Good rated by 213 women | 4.7 Excellent rated by 6 women |
Rating by Men Employees | 4.4 Good rated by 19 men | 4.0 Good rated by 14.1k men | 3.9 Good rated by 483 men | 4.4 Good rated by 11 men |
Job security | 3.4 Average | 4.0 Good | 3.4 Average | 4.3 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)
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₹12 L/yr - ₹30 L/yr
Cloud Architect
(5 salaries)
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₹46 L/yr - ₹85 L/yr
Data Management Analyst
(5 salaries)
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₹7 L/yr - ₹14 L/yr
Technical Account Manager
(5 salaries)
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₹35.5 L/yr - ₹50 L/yr
Program Manager
(5 salaries)
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₹19 L/yr - ₹24 L/yr
Software Engineer
(5 salaries)
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₹35 L/yr - ₹45 L/yr
Senior Solution Consultant
(5 salaries)
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₹50.8 L/yr - ₹78.7 L/yr
Security Supervisor
(5 salaries)
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₹2.4 L/yr - ₹4.2 L/yr
Technical Solutions Engineer
(5 salaries)
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₹20 L/yr - ₹34.5 L/yr
Data Scientist
(4 salaries)
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₹12.5 L/yr - ₹1 Cr/yr
Google Cloud Interview Questions
Interview questions by designation
Top Google Cloud interview questions and answers
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Google Cloud News
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10 months to innovation: Definity's leap to data agility with BigQuery and Vertex AI
- Definity, a Canadian P&C insurer, underwent a critical mission to modernize its data infrastructure for innovation and scalability.
- Legacy limitations, including scalability issues, data silos, and rising costs, prompted Definity to migrate its data ecosystem.
- Definity chose Google Cloud's BigQuery and Vertex AI to build its new Strategic Data Platform (SDP) for advanced analytics.
- The migration involved collaboration with Google Cloud and Quantiphi, completing the process in just ten months, 50% faster than the industry average.
- The migration resulted in exceptional user satisfaction, cost savings, and significant improvements in performance and agility for Definity.
- Lessons learned from the migration journey include fostering collaboration, bold decision-making, and transparent communication.
- Definity's future plans include leveraging BigQuery and Vertex AI for further innovation and the development of new AI use cases.
- By migrating to BigQuery and Vertex AI, Definity aims to continue leading innovation in the insurance industry with a scalable and AI-ready data foundation.
- The partnership with Google Cloud is expected to play a vital role in helping Definity achieve its data transformation goals and expand its AI capabilities.
- Definity's migration experience highlights the importance of teamwork, leadership trust, adaptability, and incremental delivery for successful data platform modernization.
Cloudblog | 13 Mar, 2025
Streamlined Security: Introducing Network Security Integration
- Integrating third-party ISV security solutions into cloud environments poses challenges like network re-architecture, high costs, and compliance difficulties.
- Network Security Integration by Google Cloud addresses these challenges by enabling integration of third-party network appliances with Google Cloud workloads, ensuring consistent policies across hybrid and multicloud environments.
- It uses Geneve tunneling for secure traffic delivery to third-party inspection destinations without altering original packets.
- Network Security Integration offers out-of-band and in-band integration modes for offline analysis and inline inspection of traffic, respectively.
- Out-of-band integration helps with advanced network security, improving application performance, and meeting compliance requirements.
- In-band integration allows interception and redirection of traffic for threat inspection and adherence to security policies.
- Partners like Palo Alto Networks, Fortinet, and Corelight commend Google Cloud's Network Security Integration for enhancing security capabilities.
- The integration with partners like Trellix, cPacket, and NETSCOUT further strengthens security measures for cloud deployments.
- Google Cloud emphasizes the importance of an integrated security ecosystem for enhanced visibility and security of network traffic and workloads.
- Network Security Integration empowers customers to use third-party security solutions in cloud environments cost-effectively, with seamless integration and increased compliance.
Cloudblog | 13 Mar, 2025
Ukrainian Developers and AI: How Vladyslav Budichenko is shaping the future of tech
- Vladyslav Budichenko, a Ukrainian software engineer, has made a mark in the IT industry with his expertise in system architecture and artificial intelligence.
- His journey began with a focus on mathematics, physics, and programming during his school years, leading to freelance web development projects.
- Vladyslav's passion for innovation guided him towards specialized roles, including developing a payment system for Bitfury LightningPeach.
- He then transitioned to collaborating with European tech companies, specializing in scalable systems and eventually delving into artificial intelligence.
- Vladyslav's notable AI projects include Vocaly AI, an AI voice agent for businesses, and Reinvify, an AI assistant for real estate investment in the US.
- His commitment to solving real-world problems through AI reflects his belief in technology's potential to simplify and improve people's lives.
- Vladyslav's industry recognition includes prestigious certifications from AWS and Google Cloud, and accolades like the BrainTech Award for his IT contributions.
- He is a member of the International Association of IT Professionals and has served as a jury member for tech awards, showcasing his influence and expertise in the field.
- Vladyslav's future aspirations revolve around launching his AI startup while assuming the role of Chief Technology Officer to combine technical expertise with leadership.
- His belief in mentoring and sharing knowledge highlights his dedication to empowering others and driving innovation in the IT sector.
- As AI continues to shape the future of technology, Vladyslav remains committed to staying ahead of the curve and contributing to the transformative potential of artificial intelligence.
TechBullion | 13 Mar, 2025
AI-powered cloud security: How CrowdStrike and Google Cloud are enhancing protection at scale
- CrowdStrike and Google Cloud are collaborating to enhance cloud security at scale, utilizing AI-powered technologies for proactive threat defense.
- CrowdStrike's cloud-native security platform, backed by real-time AI-driven threat intelligence, enables enterprises to detect and prevent attacks effectively.
- Google Cloud Marketplace simplifies access to trusted cloud security solutions, ensuring robust protection for workloads moving to the cloud.
- The partnership provides embedded security protections for Google Cloud services like Kubernetes Engine, Cloud Run, and BigQuery.
- Industries with high stakes, such as retail and finance, benefit from the CrowdStrike and Google Cloud partnership for securing cloud workloads.
- Organizations can streamline procurement and consolidate security solutions through Google Cloud Marketplace, enhancing agility in responding to threats.
- By integrating seamlessly into the DevOps cycle, CrowdStrike and Google Cloud focus on operational efficiency and reducing deployment times for cloud security.
- The collaboration allows for scalability of protection amidst high-speed operations, as demonstrated by an international retailer enhancing cloud security during peak shopping periods.
- Real-world examples showcase successful deployments of Falcon Cloud Security in protecting Google Cloud instances, emphasizing the importance of a secure cloud foundation.
- The joint effort emphasizes removing operational friction and providing security-focused capabilities to enterprises looking to adopt cloud technologies efficiently and securely.
Siliconangle | 13 Mar, 2025
What is IoT Cloud Architecture? A Detailed Guide in 2025
- IoT cloud architecture is a framework that enables smart devices to communicate with cloud services like AWS or Google Cloud for data processing and analysis.
- The architecture involves layers including Perception Layer for data generation, Network/Transport Layer for data transmission, Processing Layer for cloud data processing, Application Layer for end-user applications, and User/Business Layer for data insights.
- Key communication protocols like Wi-Fi, Bluetooth, LoRaWAN, and LTE/5G enable data transmission between devices and gateways, ensuring data security.
- Cloud servers provide computing resources for data storage and processing, while edge devices offer local data processing to reduce latency and enhance real-time analytics.
- End-user applications leverage communication protocols like MQTT, CoAP, and HTTP for interacting with cloud servers and IoT devices.
- Common IoT cloud models include Centralized Cloud, Edge Cloud, and Hybrid Cloud, each offering advantages in terms of data processing, latency, bandwidth usage, and scalability.
- Understanding IoT cloud architecture is crucial for optimizing IoT deployments, troubleshooting issues, and deriving actionable insights for improved business efficiency.
- Optimizing IoT cloud architecture involves choosing the right cloud provider, combining edge computing, ensuring seamless connectivity, managing data flows, and monitoring regularly for efficiency.
- Partnering with experienced firms like Designveloper can help businesses implement secure, compliant, and efficient IoT solutions within budget and on time.
- By following best practices in IoT cloud architecture, companies can enhance their IoT initiatives and leverage data insights for informed decision-making and business growth.
Designveloper | 12 Mar, 2025
Centralized data infrastructure violates Web3’s core of decentralization
- Michael O’Rourke discusses the need for decentralized infrastructure in open data to align with its philosophy of autonomy and censorship resistance.
- Open data's shift to decentralized infrastructure can solve vulnerabilities for user applications and has various use cases like hosting DApps, trading bots, and sharing research data.
- Affordable training and inference of large language models (LLMs) are highlighted, showcasing the cost differences between closed-source centralized AI models and open-source options like DeepSeek R1.
- Decentralized node runners can support the development of open-source LLMs by serving as AI endpoints, unlike centralized platforms like OpenAI.
- Decentralized infrastructure protocols empower operators to deploy gateways on permissionless networks, tapping into an emerging market with lower entry barriers.
- Decentralized computing resources on platforms like Akash offer customized services at significantly lower prices, benefiting the AI training and inference market.
- In the research domain, blockchain-based zero-knowledge ML models enable trustless data sharing and preservation of privacy, offering researchers access to decentralized infrastructure rewards.
- Centralized data hosting platforms like AWS, Google Cloud, and Microsoft Azure face reliability issues due to single points of failure, emphasizing the need for decentralized protocols in app hosting.
- The article discusses incidents where centralized tech failures affected user access, underscoring the resilience and reliability benefits of decentralized infrastructure.
- Web3 RPC market size and the growth potential of decentralized infrastructure are highlighted, with a call to pivot towards decentralized infrastructure for open data transfers.
Coin Telegraph | 11 Mar, 2025
All Data and AI Weekly #180 - 10-March-2025
- The latest issue of AI, Data and AI Weekly highlights various topics including NiFi, Iceberg, Polaris, Streamlit, Flink, Kafka, Python, Java, and SQL in the context of data and AI.
- It also includes links to several cool stuff, new models, and upcoming events related to Snowflake, as well as recent projects and technologies, such as RAG, Python, Java, Snowflake, and Streamlit.
- The newsletter also provides substantial information about Tim Spann's talks, demos, and projects, including AIM Ghosts, Advanced RAG Techniques, and more.
- The technologies highlighted in the newsletter include Python, Java, Snowflake, Streamlit, AWS, Google Cloud, and Azure.
Dev | 11 Mar, 2025
Google Cloud vs AWS: Picking the Right Cloud Platform
- Google Cloud and AWS are two leading cloud computing platforms, with AWS currently holding a 31% market share.
- Both platforms offer a wide range of services, but understanding their differences is crucial for making informed decisions.
- In terms of security, AWS has a stronger security posture with more compliance certifications compared to Google Cloud.
- Both AWS and Google Cloud provide various pricing models for cost optimization, such as on-demand, reserved, and spot instances.
- AWS offers better storage and memory upfront at a marginal cost increase, giving it an advantage in this aspect.
- When it comes to DNS services, Amazon Route 53 offers greater control and scalability, while Google Cloud DNS has a more cost-effective pricing model.
- AWS EKS is considered more secure than Google Kubernetes Engine in terms of containerization in cloud environments.
- In factors like availability, pricing, documentation, and community support, AWS generally has an edge over Google Cloud.
- Ultimately, the choice between AWS and Google Cloud depends on specific needs, with AWS offering more advantages overall at present.
- It's crucial to evaluate workload requirements, budget constraints, and long-term goals to make the right decision between the two cloud platforms.
Dzone | 8 Mar, 2025
The Future of Multi-Cloud: How AI-Driven Strategies Are Driving Cloud Agility and Ending Vendor Lock-In
- Major cloud outages have highlighted the risks of vendor lock-in, prompting a shift toward multi-cloud adoption across AWS, Microsoft Azure, Google Cloud, and private cloud environments.
- AI-driven cloud strategies are crucial for seamless integration, cost control, and security maintenance in a multi-cloud environment.
- Multi-cloud adoption offers businesses flexibility, cost optimization through AI tools, and enhanced security compliance in regulated sectors.
- Kubernetes plays a key role in ensuring applications run smoothly across various cloud platforms in multi-cloud setups.
- AI integrated with Kubernetes automates workload distribution and resource optimization in complex multi-cloud architectures.
- AI serves as a critical enabler for managing the complexity of multi-cloud deployments, predicting failures, adjusting resources, and enhancing security.
- AI-powered automation streamlines cloud operations, ensures optimal workload deployment, and mitigates cyber threats in real time.
- AI-native multi-cloud platforms will become more prevalent, driving efficiency gains, cloud security, cost optimization, and workload orchestration.
- The future of cloud computing lies in AI-powered multi-cloud ecosystems that prioritize flexibility, resilience, and efficiency.
- AI-driven multi-cloud strategies are positioned to lead businesses in the digital economy by enhancing agility, efficiency, and cost optimization.
TechBullion | 5 Mar, 2025
FAssets v1 Brings XRP, DOGE, and BTC to DeFi With Flare
- The FAssets v1 mainnet launch will enable trust-minimized bridging for XRP, DOGE, and BTC, unlocking previously inaccessible liquidity in DeFi.
- Flare is expanding its horizons in the DeFi area through a series of smart measures that have piqued the industry’s interest.
- Flare is preparing to launch FAssets v1 on mainnet, therefore bringing a trust-minimized bridging mechanism for assets from blockchains lacking smart contracts, including XRP, DOGE, and BTC.
- Flare is also looking into the artificial intelligence industry and collaborating with Google Cloud to host the 'Verifiable AI Hackathon' to spur innovation in decentralized AI.
Crypto-News-Flash | 4 Mar, 2025
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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.
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