Remote job description

At Tecton, we are on a mission to bring world-class Machine Learning to every product and customer experience. Tecton's founders developed the first Feature Store when they created Uber's Michelangelo ML platform. In pursuit of bringing ML to every production application, we have since brought the leading commercial feature store to market and built the most popular open-source feature store.

We are funded by Sequoia Capital and Andreessen Horowitz and have a fast-growing team that works out of SF, NYC, and remotely. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Facebook, Airbnb, Twitter, and Quora, and we're now bringing those same capabilities to every organization in the world.

Competencies

    • Continuous learner - disposed towards learning new concepts, products, and ideas
    • Polished communicator - clear, concise, and polished communication in verbal and written form
    • Detail oriented - Is very methodical in understanding customer context in order to reliably reproduce issues and debug them
    • Hardworking - Competitive, determined, resourceful, resilient, owner, and gritty. Does not mean long hours
    • Integrity - Does the right thing for Tecton, her customers, and employees even at a personal cost. When they make a commitment, you know they will get it done

What You'll Do

    • Troubleshoot and resolve complex customer issues related to Spark internals, Spark Sql, Structured Streaming, and other data engineering and product areas.
    • Tune the performance and cost of customer Spark code
    • Help customers integrate Tecton with 3rd party systems like Kafka, Kinesis, and Snowflake
    • Coordinate with Consulting Architects, Support Engineers, and Engineers to get timely resolutions for customer issues
    • Build debugging tools
    • Write and maintain documentation and knowledge base articles

What You Bring

    • 3+ years experience developing, debugging, and tuning Spark applications on EMR, Databricks, and/or Kubernetes clusters
    • Strong proficiency in PySpark including: udfs, partition tuning and query hints
    • Proficient in Python
    • Experience with Spark Structured Streaming
    • Solid understanding of Kafka and Kinesis
    • Experience designing with AWS and Terraform
    • Experience using/integrating with ML platforms like Sagemaker, Kubeflow, MLflow, etc.
    • Preferred: Experience with Spark on Kubernetes, Snowflake, Redshift, or Athena
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 original, 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 application through to interview, please contact us at recruitingteam@tecton.ai




Summary
Company name: Tecton
Remote job title: Senior Technical Solutions Engineer
Job tags: Terraform, Electromagnetic Radiation, Kubernetes

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