Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- Experience designing, building, and maintaining infrastructure and distributed systems.
- Experience with coding and software design.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 1 year of experience in a technical leadership role.
- Experience designing and implementing Machine Learning (ML) architectures.
- Experience with data structures and algorithms.
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.
Flume ML - Building data-processing infrastructure across Alphabet that is scalable, low cost, easy to use, ecosystem-enabling, and compliant.You will join a team in Warsaw focused on managing global data processing infrastructure products. This infrastructure solution serves as the foundation of Alphabet, powering machine learning features related to YouTube or Search, as well as next-generation AI initiatives. In this role, you will help guide the direction of this product.
Your focus will be to advance the scheduleability and autotuning optimizations of the data processing infrastructure. These optimizations support machine learning pipelines and standard data processing workloads. You will bridge the gap between infrastructure and the products that rely on it.
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.Poland: zł364000 - zł374000 (PLN) + 15% bonus target + equity + benefits
Learn more about benefits at Google.Flume ML - Building data-processing infrastructure across Alphabet that is scalable, low cost, easy to use, ecosystem-enabling, and compliant.
You will join a team in Warsaw focused on managing global data processing infrastructure products. This infrastructure solution serves as the foundation of Alphabet, powering machine learning features related to YouTube or Search, as well as next-generation AI initiatives. In this role, you will help guide the direction of this product.
Your focus will be to advance the scheduleability and autotuning optimizations of the data processing infrastructure. These optimizations support machine learning pipelines and standard data processing workloads. You will bridge the gap between infrastructure and the products that rely on it.
Responsibilities
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
- Address technical issues that require significant expertise or span multiple systems and stakeholders.
- Work with mission critical customers on their schedulability issues.
- Analyze performance data and design data driven solutions.
- Promote a team environment by mentoring engineers and contributing to organizational success.