Software Engineer, Full Stack, Cloud
Hyderabad, Telangana, Indiaonsitemidfull timeToday
About the job:
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.
Responsibilities:
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
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.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with full stack development, across back-end such as Java, Python and front-end experience including Angular, JavaScript or TypeScript or equivalent.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.
Experience integrating Large Language Models (LLMs) into enterprise products, building agentic workflows, orchestrating tools, or leveraging semantic frameworks like Model Context Protocol (MCP).
Experience building scalable data pipelines (e.g., BigQuery, Dataflow) and working with semantic data layers.
Experience with Identity and Access Management (IAM), role-based access control (RBAC), and resolving system vulnerabilities.
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