Join Google as a Cloud Engineer – AI or Software Engineer II, where you’ll shape the backbone of Google’s global systems and intelligent services. Whether you’re architecting and maintaining cloud-native infrastructure powered by AI technologies or crafting advanced software solutions, you’ll leverage your programming skills (e.g., Java, Python, C++) and work collaboratively across teams to drive innovation at scale. These roles offer hands-on experience building resilient, high-impact solutions for products used daily by millions worldwide.
Details about Google Careers 2025: Mass Hiring Software Engineer II
| Company name | |
| Job Role | Software Engineer II |
| Work Location | Bangalore |
| Job Type | Full Time |
| Experience | Early Careers |
| Qualification | Bachelor’s degree in Computer Science or related |
| Batch | Not Mentioned |
| Expected Salary | 48 LPA |
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
Preferred qualifications:
- Master’s degree or PhD in Computer Science or related technical field.
- Experience developing accessible technologies.
About the job
Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search.
We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Responsibilities
- Write product or system development code.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality
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Details about Google Careers 2025: Mass Hiring Cloud Engineer – AI
| Company name | |
| Job Role | Cloud Engineer – AI |
| Work Location | Bangalore, Gurgaon, Hyderabad |
| Job Type | Full Time |
| Experience | Early Careers |
| Qualification | Bachelor’s degree in Computer Science or related |
| Batch | Not Mentioned |
| Expected Salary | 42 LPA |
Minimum qualifications:
- Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- Experience building Machine Learning or Data Science solutions.
- Experience writing software in Python, Scala, R, or similar.
- Experience with data structures, algorithms, and software design.
- Ability to travel up to 30% of the time.
Preferred qualifications:
- Experience working with recommendation engines, data pipelines, or distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks.
- Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives.
- Experience with core Data Science techniques.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
- Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
- Excellent customer-facing communication and listening skills.
About the job
The Google Cloud Platform team helps customers transform and build what’s next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware.
Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Cloud Engineer, you will play a key role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products.
You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud.
You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. In this role, you will lead the timely execution of adopting the Google Cloud Platform solutions to the customer’s requirements.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Deliver effective big data and machine learning solutions and solve technical customer issues.
- Act as a technical advisor to Google’s customers.
- Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.
- Deliver best practice recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.
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Disclaimer
Please note that the information provided above is based on the available details that was given in the actual Google careers page website. For updated and latest information we will suggest you to visit the official Google hiring site.
