Full-Time

Software Engineer

Application Frameworks

Posted on 10/31/2025

Tecton

Tecton

51-200 employees

ML feature management and data pipelines

Compensation Overview

$197k - $237k/yr

+ Equity

Remote in USA + 3 more

More locations: Seattle, WA, USA | San Francisco, CA, USA | New York, NY, USA

Remote

Must be in SF/NY two days weekly, Seattle two days monthly; remote-friendly with hybrid requirements.

Category
Software Engineering (1)
Required Skills
Kotlin
gRPC
Kubernetes
Microsoft Azure
Python
Postgres
AWS
Google Cloud Platform
Requirements
  • 5+ years of experience in designing, implementing, and maintaining software systems, with demonstrated expertise in building core platforms/frameworks that enable multiple other engineering teams.
  • Excellent communication and collaboration skills, and ability to write detailed technical specifications.
  • Experience with at least one of Amazon Web Services, Google Cloud Platform, or Microsoft Azure (Amazon Web Services experience strongly preferred).
  • Degree in Computer Science or related field, or equivalent practical experience.
  • Experience with Python, Kotlin, Bazel, Kubernetes, gRPC, or Postgres is a bonus but not required.
Responsibilities
  • Design and implement frameworks, platforms, and services that provide foundational capabilities across Tecton (think: long-lived workflow management, application configuration, database migrations).
  • Define and drive adoption of core technical standards across Tecton - refine how we use fundamental technologies (think: linters, dependency injection, logging).
  • Collaborate across engineering teams to identify friction points and design solutions which both meet current needs and generalize to broader cross-team challenges.
  • Collaborate with cross-functional partners like Security and Finance to help define how engineering tackles cross-cutting engagement points with those partners.
  • Empower the organization to “shift left” development and testing through thoughtful test framework / test data management paradigms.
Desired Qualifications
  • Experience with some of the following technologies is preferred / a bonus, including Python, Kotlin, Bazel, Kubernetes, gRPC, PostgreSQL.
  • Experience with cloud platforms beyond AWS, such as Google Cloud Platform or Microsoft Azure, is a plus.

Tecton builds a feature management platform for machine learning. It helps teams discover, reuse, and govern ML features end-to-end, while tracking data pipelines, latency, costs, and the systems behind them. Users can design and define features in Python, SQL, or Spark inside notebooks or other Python environments, including complex transforms like time-window aggregations and training data backfills. The platform supports near real-time streaming, updating metrics such as mean transaction values over multiple windows every few minutes. Compared with competitors, Tecton emphasizes clear feature governance, visibility into data pipelines and costs, and a unified workflow for feature engineering across the analytics stack. The goal is to streamline the creation, deployment, monitoring, and management of ML features so teams can deploy reliable models faster and with better data quality.

Company Size

51-200

Company Stage

Series C

Total Funding

$160M

Headquarters

San Francisco, California

Founded

2019

Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks $900M acquisition integrates Tecton into Lakehouse for AI agents.
  • KES joint venture with CES expands satellite data services in Kazakhstan.
  • Google Cloud partnership accelerates enterprise ML-powered applications.

What critics are saying

  • Databricks halts Tecton roadmap, forcing Lakehouse migration in 6-12 months.
  • Feast open-source captures mid-market, eroding Tecton's premium pricing.
  • Databricks sunsets standalone Tecton product within 18-24 months.

What makes Tecton unique

  • Tecton unifies feature definition, management, and serving for production ML.
  • Supports Python, SQL, Spark with real-time streaming and time-window aggregations.
  • Provides sub-10ms latency and point-in-time correctness for consistent training.

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Benefits

Comprehensive health plans

Remote-friendly work environment

Parental leave

Competitive salary, equity and 401(k) savings plans

Wellbeing benefits

Flexible PTO

Growth & Insights and Company News

Headcount

6 month growth

-7%

1 year growth

-1%

2 year growth

5%
CES
Apr 3rd, 2026
CES and Tecton establish joint venture 'KES' and open office in Kazakhstan.

CES and Tecton establish joint venture 'KES' and open office in Kazakhstan. * 1 day ago CES Co., Ltd. and Kazakhstan-based company Tecton have established a joint venture, Kazakhstan Earth Services (KES), to expand satellite data services in Central Asia. The office opening ceremony was held on April 2 in Kazakhstan, marking an important milestone in strengthening regional cooperation and advancing satellite data applications in the region.

iTnews
Aug 25th, 2025
Databricks to buy Tecton in AI agent push

Databricks to buy Tecton in AI agent push.

WebProNews
Aug 25th, 2025
Databricks Acquires Tecton in $900M Deal to Boost Real-Time AI

Databricks has acquired Tecton, a machine-learning startup valued at $900 million, to enhance real-time data processing for AI agents.

SSBCrack News
Aug 23rd, 2025
Databricks Acquires Tecton for $900M

Databricks, valued at over $100 billion, has acquired Tecton, a feature store startup valued at $900 million, to enhance its AI infrastructure. This acquisition addresses deployment challenges by integrating Tecton's real-time feature storage into Databricks' Lakehouse Platform, reducing model deployment time. Tecton had raised $160 million from investors like Kleiner Perkins. The MLOps sector is seeing significant investment, with $4.5 billion in 2024 and projections of $6 billion in 2025.

Tech in Asia
Aug 23rd, 2025
Databricks to buy A16z-backed machine learning startup Tecton

Founded in 2020 by former Uber engineers, Tecton has raised US$160 million from investors including Sequoia Capital, Kleiner Perkins, Andreessen Horowitz, and Bain Capital Ventures.

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