Technical Visionary for AI Infrastructure

3 days ago


New York, New York, United States Tecton Corporation Full time
At Tecton Corporation, we're dedicated to unlocking the full potential of our data for AI applications. As a Technical Visionary for AI Infrastructure, you'll play a crucial role in driving our mission forward. You'll develop and communicate a clear technical vision to align the team and guide our development efforts. This involves architecting and implementing solutions to scale our serving platform to handle millions of requests per second with low latency and high availability. You'll also evolve our query execution engine to support complex, multi-stage queries with user-defined Directed Acyclic Graphs (DAGs). Additionally, you'll build an integrated observability solution that provides an exceptional operational experience with logs, metrics, and traces. Furthermore, you'll launch our serving infrastructure across multiple cloud platforms, ensuring compliance with security protocols and data residency requirements. Lastly, you'll assess and prioritize tasks, demonstrating a keen awareness of performance-critical areas.

This position requires a strong background in programming, debugging, and performance tuning distributed and/or highly concurrent software systems. A degree in Computer Science, Software Engineering, or a related field is preferred, but equivalent practical experience is also considered. You must have experience with Database Query Engines, at least one of AWS, GCP, and experience with low latency online storage like DynamoDB, Redis, and BigTable. Experience with Data warehouses like Snowflake, BigQuery, Object Storage like S3 is also necessary.

We offer a competitive compensation package, including an estimated base salary of $216,000 - $258,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws.

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