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Lead Software Engineer, Data Platform

Scale AISan Francisco, CA; New York, NY
On-site Full-time $248.4K/yr - $310.5K/yr

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Experience Level

Senior

Qualifications

The ideal candidate will possess:8+ years of engineering experience with a focus on back-end systems, particularly in building large-scale data storage, streaming, and warehousing systems. In-depth knowledge of database technologies such as MongoDB and Postgres, along with experience in streaming and processing solutions like Kinesis, Flink, and Spark. Expertise in caching and indexing solutions, including ElasticSearch and Redis, as well as familiarity with data query engines such as Trino and Snowflake. A proven track record of mentoring and leading engineering teams, ensuring adherence to the highest engineering standards. Strong communication skills to effectively present technical concepts and collaborate with cross-functional teams.

About the job

In an era where software is increasingly integrated with artificial intelligence, Scale AI stands at the forefront of this transformation. Our mission is to revolutionize how individuals interact with AI, enhancing human capabilities and redefining productivity. Our groundbreaking products, including the Generative AI Data Engine and SGP, empower leading enterprises and organizations to harness the power of AI through large language models (LLMs) at an unprecedented scale.

As part of our innovative Platform Engineering team, you will play a pivotal role in designing and developing robust data storage, streaming, caching, and indexing systems that are essential for our AI solutions. This position offers a unique opportunity to engage with cutting-edge technologies and contribute to the evolution of AI in various sectors, including enterprise, government, and technology.

About Scale AI

Scale AI is a leader in the AI space, committed to creating advanced machine learning solutions that redefine human-computer interaction. Our technology is at the heart of the most sophisticated AI applications globally, making significant contributions to how businesses leverage AI for enhanced decision-making and efficiency.

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