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Job Summary:
Tecton is a company that addresses complex data challenges in production machine learning, offering a feature platform that enhances data activation for smarter models. The Staff Software Engineer for Realtime Data will be responsible for developing a technical vision, architecting scalable solutions, and building observability for high-performance online infrastructure that supports AI inference.
Responsibilities:
• Develop and communicate a clear 18-month technical vision to align the team and guide our development efforts
• Architect and implement solutions to scale our serving platform to handle millions of requests per second with low latency and high availability
• Evolve Tecton’s query execution engine to support complex, multi-stage queries with user-defined Directed Acyclic Graphs (DAGs)
• Build an integrated observability solution that provides an exceptional operational experience with logs, metrics, and traces
• Launch our serving infrastructure across multiple cloud platforms, ensuring compliance with security protocols and data residency requirements
• Assess and prioritize tasks, demonstrating a keen awareness of performance-critical areas
Qualifications:
Required:
• 7+ years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent software systems
• Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience, with strong proficiency in building high throughput infrastructure
• Experience with Database Query Engines
• Experience with at least one of AWS, GCP
• Experience with low latency online storage like DynamoDB, Redis, and BigTable
• Experience with Data warehouses like Snowflake, BigQuery, Object Storage like S3
Company:
Tecton provides an enterprise-ready feature store to make machine learning accessible to every company. Founded in 2019, the company is headquartered in San Francisco, California, USA, with a team of 51-200 employees. The company is currently Growth Stage.