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    Software Engineer - Seattle, United States - Tecton Corporation

    Tecton Corporation
    Tecton Corporation Seattle, United States

    2 weeks ago

    Default job background
    Description
    At Tecton, we solve the complex data problem in production machine learning. Tecton's feature platform makes it simple to activate data for smarter models and predictions. Tecton abstracts away the complex engineering to speed up innovation.

    Tecton's founders developed the first Feature Store when they created Uber's Michelangelo ML platform, and we're now bringing those same capabilities to every organization in the world.

    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.

    We are building

    Rift

    - a new fully managed compute environment that allows data scientists to construct powerful batch and streaming feature pipelines in Python. This differs radically from technologies like Spark, which have a steep learning curve and significant overhead to manage, operate, and debug. Our new environment leverages popular open-source technologies such as Ray, Arrow, and DuckDB.


    As a staff-level engineer building Tecton's managed compute, you'll play a critical role in architecting, designing, and scaling our first-ever managed compute platform that will serve as a compute engine used by every Tecton customer.

    As part of this team, you will be working in one or more of the following areas to build the next generation of Tecton infrastructure:

    Distributed compute and resource management
    Query optimization and distributed execution
    Cross-platform integrations with state-of-the-art data platforms such as Snowflake and BigQuery
    Fault-tolerant workloads on a lambda-based architecture
    Data security
    Responsibilities

    Own and lead large technical domains starting from the problem definition and technical requirements along with implementation and maintenance
    Lead multi-engineer projects of strategic importance to Tecton spanning cross-functional teams including design, product management, and other engineering teams
    Drive efforts to improve engineering practices, tooling, and processes along with mentorship for senior engineers
    Develop a deep understanding of the fundamental problems our customers face in building ML systems
    Be a generalist as needed. We're a small, but growing engineering team and each engineer needs to be versatile
    Reinforce Tecton's "Fast, but Focused" core value
    Qualifications and Values

    7+ years of experience in building product software systems
    2+ years of technical leadership experience for a group of engineers
    Experience working in large Python, Java, Kotlin, or Go codebases and running cloud-native production systems using Kubernetes, AWS, and Docker
    Experience with distributed systems, SQL, and NoSQL databases
    Bias to action and passion for delivering high-quality solutions
    Strong communication and ability to write detailed technical specifications
    Excitement about coaching and mentorship of junior engineers
    BSc, MS or PhD in Computer Science or related fields

    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

    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.

    #J-18808-Ljbffr
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