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.
Managed Spark Service (formerly Dataproc) enables open source data analytics and data processing users to modernize their open-source big data analytics workloads in the cloud. Dedicated to meeting customers where they are, managed spark service enables users to quickly provision and manage clusters, serverless compute, and execute high scale workloads
In this role, you will manage the issues in the field, including multi-tenant security, cluster management, capacity planning, and optimizing startup performance while maintaining cost efficiency. Beyond technical execution, you will drive organizational growth by influencing software engineers and technical leadership across the Managed Spark ecosystem and the broader company. Furthermore, you will integrate advanced AI-driven management tools and development techniques to enhance team productivity and streamline service delivery.
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Define product differentiating features in an ambiguous problem space.
- Build high-impact customer-facing features which make Cloud Dataproc the best place to run Hadoop and Spark in the cloud.
- Make Cloud Dataproc the best product for data science and engineering workloads.
- Influence and oversee across Big-Data open-source initiatives including contributions to Spark, Flink, Presto etc.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C++.
- 5 years of experience with design and architecture; and testing/launching software products.
- Experience with cloud computing, cloud APIs and control planes.
- Experience with software architecture and scalability.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience in long-term technology tests across interdependent services, including scalability, maintainability, deployability, reliability, and supportability.
- Experience in driving software architecture evolution both tactically and strategically.
- Ability to influence across multiple teams and geos.