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Software Engineer, Multicloud

Tecton

Saas

51-200

San Francisco, CA, USA

About the job

Overview:

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.
As an early member of Tecton's Multicloud team, you will help build the architecture that supports Tecton across multiple cloud platforms (exs., AWS, GCP, Azure, etc.). You will have an opportunity to directly impact Tecton’s ability to support new customers and use cases that can leverage Tecton to solve their machine learning challenges. With the successful execution of this plan, the MultiCloud team can be responsible for adding directly to our customer base and helping those customers get great value out of Tecton.
Responsibilities

Write code to implement Tecton capabilities using cloud-provider-native infra. You will become familiar with Tecton-infrastructure pieces and find the best way to integrate and implement them in different cloud environments.
Own a project or component long-term. Build new capabilities from Development to General Availability, you will be responsible for driving a scalable/maintainable testing and support process, as well as ensuring successful customer adoption.
Design Tecton software architecture abstractions to speed up the process of onboarding the next new cloud integrations
Work with other engineering teams to identify the right opportunities to bring projects cross-cloud

Qualifications

5+ years of professional backend software engineering experience
Experience with Terraform, Kubernetes, Python, Kotlin, or Go
Experience with at least one of AWS, GCP, or Azure
Experience with Spark, Data Warehouses, and Streaming is a bonus