Senior Full-Stack Engineer — AI-Driven Logistics

ClearJet; Austin (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

ClearJet is hiring senior full stack engineers to build a freight system from database to UI. You’ll own features end to end with an AI-first approach, leveraging Python/Django, TypeScript/Next.js, and robust integrations.

Expect ownership of API, data model, UI, tests, and deployment, plus a focus on reliability and continuous improvement. You’ll work across the stack with a pragmatic, high-signal team, using Docker, Terraform, and Datadog, and collaborating in a distributed environment that

Qualifications

• 5+ years building and operating production web applications.
• Strong Python with Django and DRF; solid TypeScript/React experience.
• Experience deploying with Docker and CI/CD pipelines; IaC tooling.
• Ability to integrate third-party APIs and ensure reliability.
• Excellent written English and clear documentation.

Responsibilities

• Own end-to-end features: API, data model, UI, tests, release, and ops.
• Develop robust Django/DRF services on Postgres with scalable data models.
• Build front-ends in TypeScript/Next.js with accessibility considerations.
• Integrate carrier, airline, and tracking APIs with defensive patterns.
• Apply AI-first engineering practices, with strong review and verification.

Skills

5+ years experience in production web

Python/Django/DRF

TypeScript/Next.js

PostgreSQL/SQL

Docker/CI/CD

Terraform/Infra as Code

AI tooling in development

Third-party API integrations

Testing & release discipline

Excellent written English

Tools

GitLab CI

Datadog

Terraform

PostgreSQL

Job description

ClearJet is hiring senior full stack engineers to build a freight system from database to UI. You’ll own features end to end with an AI-first approach, leveraging Python/Django, TypeScript/Next.js, and robust integrations.

Expect ownership of API, data model, UI, tests, and deployment, plus a focus on reliability and continuous improvement. You’ll work across the stack with a pragmatic, high-signal team, using Docker, Terraform, and Datadog, and collaborating in a distributed environment that