Senior Software Engineer, Flume ML
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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.
- Experience designing and implementing Machine Learning (ML) architectures.
- 1 year of experience in a technical leadership role.
- 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.
We are seeking a motivated Software Engineer to join a growing engineering team in Warsaw. Our team manages one of the world’s most sophisticated, planet-scale data processing infra product. This infrastruction solution is the backbone of Alphabet, powering foundational AI/ML features related to YouTube or Search, and next-generation AI initiatives. You will be shaping the direction of this product.
In this role, your primary objective is to advance the schedulability and autotuning capabilities of our data processing infrastructure. These optimizations are critical for supporting both massive-scale ML pipelines and standard data processing workloads. You will bridge the gap between complex infrastructure and the cutting-edge products that rely on it.
Responsibilities
- Design, develop, test, deploy, maintain, and enhance large scale software solutions.
- Address technical challenges that require significant expertise or span multiple systems and stakeholders.
- Work with mission critical customers on their schedulability challanges.
- Analyze performance data and design data driven solutions.
- Promote a team environment by mentoring engineers and contributing to organizational success.
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