Offer summary

Qualifications:

7+ years in programming and debugging, Degree in Computer Science or related field, Experience with Streaming infrastructure (Flink, Spark, Pulsar), Proficient in Python runtimes and container sandboxing, Familiarity with AWS or GCP.

Key responsabilities:

Develop advanced streaming capabilities in Rift

Build integrated observability solutions

Scale ingestion platform for low latency

Reduce cold start times for Python execution

Launch infrastructure across multiple cloud platforms

Job description

Tecton helps companies unlock the full potential of their data for AI applications. The platform streamlines the complex process of preparing and delivering data to models. With Tecton, AI teams accelerate the development of smarter, more impactful AI applications.

Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.

Tecton’s Realtime Compute team builds streaming infrastructure that provides sub-second data freshness for AI applications in production. In addition to streaming, we offer a production-ready Python runtime that securely runs user code in realtime at scale. This runtime can handle tasks like generating embeddings or calling third-party APIs for information retrieval.

This position is open to candidates based anywhere in the United States. You can work in one of our hub offices in San Francisco, New York City, Seattle or work fully remotely from outside those areas within the US.

Responsibilities

Develop advanced streaming capabilities in Rift like joins, stateful operations and native connectors to streaming data sources

Build 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

Reduce the cold start times of our sandboxed Python execution environment for extremely fast autoscaling

Launch 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

Qualifications

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.

Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. If you would like to request any accommodations from the application through to the interview, please contact us at recruitingteam@tecton.ai.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Required profile