# Senior Full Stack Engineer

**Company:** [Kargo](https://hotfix.jobs/companies/kargo)
**Location:** San Francisco, CA
**Role:** Fullstack Engineering
**Experience:** 5+ years
**Skills:** TypeScript, Python, Web Applications, APIs, Backend Architecture, Distributed Systems, Production Infrastructure, Observability, Data Pipelines, Ai Products, Mobile Development, Fault-Tolerant Systems, Logging, Monitoring, Alerting
**Posted:** 2026-08-18

> Builds end-to-end AI-powered logistics products spanning data pipelines, backend services, web, mobile, and kiosk interfaces. The role requires 5+ years of software engineering experience, strong TypeScript and Python skills, and expertise in scalable, observable distributed systems.

## Job Description

## Responsibilities

- Develop the end-to-end experience for AI-powered products, including data pipelines, backend services, and user interfaces for interacting with the Kargo platform.
- Build and evolve Kargo’s customer-facing dashboards and applications, creating intuitive experiences that help users understand and act on complex logistics data.
- Develop software experiences across multiple surfaces, including web, mobile, and kiosk interfaces deployed on Kargo Towers and forklifts.
- Collaborate with Product and Solution Engineers to build Kargo’s agentic AI product suite.
- Strengthen the stability, scalability, and measurability of backend systems.

## Requirements

- 5+ years of software engineering experience building products at scale.
- Strong experience with TypeScript and Python.
- Experience building and shipping enterprise or consumer-facing products, with a strong understanding of how product needs translate into technical requirements.
- Comfort working cross-functionally and with direct customer stakeholders.
- Experience building modern web applications and APIs, with the ability to own features across the full stack.
- Strong understanding of backend architecture, distributed systems, scalability, reliability, and fault-tolerant system design.
- Experience with production infrastructure and observability, including logging, monitoring, alerting, and debugging distributed systems.
- Degree in Computer Science, Engineering, or a related field.

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