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Full-Time

Software Engineer

Feature Engineering

Confirmed live in the last 24 hours

Tecton

Tecton

51-200 employees

Machine learning feature platform with data pipelines

Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning

Compensation Overview

$189k - $237kAnnually

Senior, Expert

Remote in USA

Category
Full-Stack Engineering
Software Engineering
Required Skills
Kotlin
Python
NoSQL
SQL
Java
Requirements
  • 6+ 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
  • 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
  • BS , MS or PhD in Computer Science or related fields
Responsibilities
  • Own and lead large technical domains spanning developer-centric APIs, Python SDKs, and CLIs
  • Lead multi-engineer projects creating capabilities, APIs, and workflows to support common real-time ML use cases like RecSys and Fraud Detection
  • Drive efforts to improve engineering practices, tooling, and processes along with mentorship for junior engineers
  • Develop a deep understanding of the fundamental problems our customers face in building ML systems
  • Build core user workflows to support that path from feature development, and iterative model training, to production feature serving
  • Reinforce Tecton’s “Fast, but Focused” core value

Tecton is distinguished by its comprehensive platform that supports the intricate requirements of machine learning, with robust capabilities in automating and centralizing production-ready data pipelines across batch, streaming, and real-time data processing. This focus on advanced data handling and support for multiple technologies including SQL, PySpark, SnowPark, and Python, positions the company as a leader in the machine learning infrastructure space. Working here offers a dynamic environment where employees are at the forefront of technological advancements, contributing to developments that shape the future of machine learning applications.

Company Stage

Series C

Total Funding

$160M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights
Headcount

6 month growth

16%

1 year growth

15%

2 year growth

84%

Benefits

Comprehensive health plans

Remote-friendly work environment

Parental leave

Competitive salary, equity and 401(k) savings plans

Wellbeing benefits

Flexible PTO