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Full-Time

Software Engineer

Identity & Access Management

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 - $258kAnnually

Senior, Expert

Remote in USA

Category
Security Engineering
Software Engineering
Required Skills
Kotlin
Kubernetes
Microsoft Azure
Python
UI/UX Design
Java
AWS
Terraform
Data Analysis
Google Cloud Platform
Requirements
  • An engineer with 5+ years of backend experience (ex., Kotlin, Java, Python, Go, etc.) in Software Engineering
  • Passion for building delightful products and end-user UX
  • Excellent communication skills
  • Preferred: Data infrastructure (Kubernetes, Terraform, etc.) and cloud (AWS, GCP, Azure) experience
  • Preferred: Internal analytics experience
  • Preferred: Auth and Access control systems experience
  • Preferred: B2B SaaS and enterprise features experience
  • Preferred: Full stack experience
Responsibilities
  • Primary ownership of building Tecton’s identity management, access control, and data governance that protect the most sensitive data of our customers
  • Building out new capabilities for organizing, governing, and sharing features, audit logging, consumption measurement, and usage analytics
  • Partnering with other teams to integrate the above with other Tecton capabilities

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