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.
Our team manages one of the sophisticated, planet-scale data processing infrastructure products. This platform is the backbone of the organisation, powering foundational ML features related to YouTube or Search, and next-generation AI initiatives. You will lead a team of Software Engineers dedicated to evolving the next generation of distributed computing.
Your primary objective is to advance the scheduleability and auto-tuning capabilities of our data processing infrastructure. These optimizations are critical for supporting both massive-scale Machine Learning pipelines and standard data workloads. You will bridge the gap between complex infrastructure and the cutting-edge products.
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
- Provide technical leadership on high-impact projects.
- Influence and coach a team of engineers.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Manage project priorities, deadlines, and deliverables.
- Design, develop, test, deploy, maintain, and enhance large scale software solutions.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with one or more general purpose programming languages including: Java, C/C++ or Python.
- Experience developing and deploying large-scale distributed systems.
- 3 years of experience with software design and architecture.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience designing and implementing Machine Learning (ML) architectures.