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Senior Software Engineer, Platform - Data + AI (Back-End)

C3.ai

$145,000 - $187,000
Oct 2, 2025
Redwood City, CA, US
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C3 AI is looking for Senior Software Engineers to join the rapidly growing Data org within the Platform Engineering department to design, develop, and maintain various features in a highly scalable and extensible AI/ML platform for large-scale applications, involving data science, distributed systems, and multi-cloud strategy.

Requirements

  • High proficiency in coding with Java, C++, C, or some other compiled language. Python would also be acceptable.
  • Strong competency in object-oriented programming, data structures, algorithms, and software design patterns.
  • Experience with version control systems such as Git.
  • Experience with large-scale distributed systems.
  • Experience with any public cloud platform (AWS, Azure, GCP).
  • Some familiarity with distributed computing technologies (e.g., Hadoop, Spark, Kafka). Familiarity with managed versions of these technologies on public cloud platforms is also acceptable.
  • Familiarity with technologies in the modern data science/analysis and engineering ecosystem (e.g., Pandas, Koalas).

Responsibilities

  • Design and develop infrastructure and services to enable data pipelines for petabyte level scale and more.
  • Design and develop abstractions over datastores such as Cassandra, PostgreSQL, Snowflake, etc.
  • Design and develop file system abstractions over AWS S3, Azure Blobs, HDFS, etc.
  • Design and develop connectors to various external data stores.
  • Design and develop distributed system components for stream processing, queueing, batch processing, analytics engines, etc.
  • Develop and maintain industry-leading, high-performance APIs for AL/ML applications.
  • Develop and maintain features for distributed computations over large-scale data for ML workflows.

Other

  • Bachelor of Science in Computer Science, Computer Engineering, or related fields.
  • Good verbal and written technical communication ability to facilitate collaboration.
  • Thrive in a fast-paced, dynamic environment and value end-to-end ownership of components.
  • Intellectually curious and open to challenges.
  • Experience with Agile development methodology.