our company'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 our companys 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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
our company Cloud Storage provides a suite of services like the scalable our company Cloud Storage (GCS) for unstructured data, high-performance managed lustre for AI/HPC workloads, and the managed Network File System (NFS) service filestore. These offerings are fundamental to our companyCloud's infrastructure, serving as the backbone for storing and accessing the vast datasets required for training and deploying AI models. In the AI era, this storage portfolio is crucial for enabling innovation, supporting compute-intensive tasks, and driving significant value for our company Cloud customers. The performance, scalability, and flexibility of these storage solutions are key to unlocking the potential of AI.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Help us figure out a strong roadmap to make Cloud Storage the best for AI/ML workloads.
Lead a team of Engineers to design, develop, and deploy new storage enhancements. Provide technical guidance, mentorship, and code reviews.
Architect and design scalable, reliable, and performant systems that meet the needs of the growing AI/ML customer base. Make data-driven decisions to optimize system performance and efficiency.
Troubleshoot complex technical issues, analyze performance bottlenecks, and develop innovative solutions to address customer challenges.
Work closely with product managers, customer engineers, and other stakeholders to understand customer requirements and ensure that Cloud Storage meets their needs.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
our company Cloud Storage provides a suite of services like the scalable our company Cloud Storage (GCS) for unstructured data, high-performance managed lustre for AI/HPC workloads, and the managed Network File System (NFS) service filestore. These offerings are fundamental to our companyCloud's infrastructure, serving as the backbone for storing and accessing the vast datasets required for training and deploying AI models. In the AI era, this storage portfolio is crucial for enabling innovation, supporting compute-intensive tasks, and driving significant value for our company Cloud customers. The performance, scalability, and flexibility of these storage solutions are key to unlocking the potential of AI.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Help us figure out a strong roadmap to make Cloud Storage the best for AI/ML workloads.
Lead a team of Engineers to design, develop, and deploy new storage enhancements. Provide technical guidance, mentorship, and code reviews.
Architect and design scalable, reliable, and performant systems that meet the needs of the growing AI/ML customer base. Make data-driven decisions to optimize system performance and efficiency.
Troubleshoot complex technical issues, analyze performance bottlenecks, and develop innovative solutions to address customer challenges.
Work closely with product managers, customer engineers, and other stakeholders to understand customer requirements and ensure that Cloud Storage meets their needs.
Requirements:
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience with design and architecture and testing or launching software products.
Preferred qualifications:
Masters degree or PhD in Engineering, Computer Science, or a related technical field.
5 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a structured organization involving cross-functional, or cross-business projects.
Experience applying Artificial Intelligence/Machine Learning (AI/ML) techniques to solve problems, particularly in security contexts.
Experience working with large-scale data processing and analytics systems.
Understanding of cybersecurity fundamentals, threat landscapes, incident response, and security operations.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience with design and architecture and testing or launching software products.
Preferred qualifications:
Masters degree or PhD in Engineering, Computer Science, or a related technical field.
5 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a structured organization involving cross-functional, or cross-business projects.
Experience applying Artificial Intelligence/Machine Learning (AI/ML) techniques to solve problems, particularly in security contexts.
Experience working with large-scale data processing and analytics systems.
Understanding of cybersecurity fundamentals, threat landscapes, incident response, and security operations.
This position is open to all candidates.
