Full-Stack Software Engineer

About Burq

Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution?

We began by building one of the largest connected delivery networks, partnering with major logistics providers and making it easy for businesses to plug in and start offering delivery instantly. Today, we’re powering deliveries for some of the fastest-growing companies—from retailers to startups.

It’s a big mission, and now we want you to join us to make it even bigger! 🚀

We’re backed by leading venture investors, including Village Global (whose LPs include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely), and have assembled a world-class team across the U.S.

We operate at scale, but we're still a small team relative to the opportunity ahead. That means you’ll have an unprecedented chance to grow while doing the most important work of your career.

We want people who are unafraid to be wrong and who support their decisions with both numbers and narrative.

Full Stack Engineer

As a Software Engineer at Burq, you will be joining a team of talented engineers working together to transform the way businesses offer on-demand & same-day delivery. You will be part of an emerging team that is building a product to power millions of businesses with their delivery needs.

Responsibilities:

Backend Engineering

• Build and scale Node.js/Express services that power our delivery platform.
• Design and maintain RESTful APIs with a focus on scalability, authentication, and performance.
• Work with PostgreSQL to design efficient schemas and optimize queries for large datasets.
• Integrate message queues (SQS, Kafka, or similar) to support asynchronous processing and reliability.
  

Frontend Engineering

• Develop responsive, maintainable user interfaces using React and TypeScript.
• Collaborate with product and design teams to translate complex logistics workflows into simple, intuitive experiences.
  

AI/ML Engineering

• Design and refine prompts for large language models to optimize route planning, order processing, and customer communications.
• Integrate AI capabilities (e.g., AWS Bedrock) into existing workflows and services.
• Experiment with AI-powered features to improve delivery efficiency, automation, and user experience.
• Collaborate with the team to identify opportunities where AI/ML can solve logistics challenges at scale.

Cloud Infrastructure

• Deploy and manage services in AWS (ECS, Lambda, RDS, S3, etc.).
• Implement CI/CD pipelines and observability tools to ensure reliability and scalability.
  

Collaboration & Ownership

• Own features end-to-end—from concept through production release.
• Participate in code reviews, share best practices, and mentor other engineers.

Contribute to technical architecture discussions and decisions.

• Can put yourself in the shoes of your users and be a steward of crafting great experiences