Realtime Compute Systems Engineer
1 week ago
About Us
Tecton Corporation is a leading AI data platform that enables businesses to leverage their data for AI applications. Our innovative platform streamlines the preparation and delivery of data to models, allowing AI teams to accelerate the development of smarter AI applications.
Our team is composed of experienced professionals who have built and operated business-critical machine learning systems at top tech companies. We have offices in San Francisco and New York City, and our team is distributed around the world.
Job Description
We are looking for an exceptional developer to join our Realtime Compute team. As a key member of this team, you will design and implement high-performance streaming infrastructure that provides sub-second data freshness for AI applications in production.
Key Responsibilities
- Design and develop advanced streaming capabilities in Rift, including joins, stateful operations, and native connectors to streaming data sources.
- Implement an integrated observability solution that provides an exceptional operational experience with logs, metrics, and traces.
- Scale our ingestion platform to handle millions of requests per second with low latency and high availability.
- Optimize the cold start times of our sandboxed Python execution environment for extremely fast autoscaling.
- Deploy our 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.
Requirements
- 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 Streaming infrastructure like Flink, Spark, Pulsar, Heron.
- Experience with Python runtimes, dependency resolution, and container sandboxing.
- Experience with at least one of AWS, GCP.
- Experience with low latency online storage like DynamoDB, Redis, and BigTable.
Compensation
The estimated annual salary for this position is $189,000 - $231,000, with comprehensive benefits, including 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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