Full Stack Engineer

ResQ is an all-in-one facilities 🛠️ management platform built for fast-growing facilities and trades businesses. Thousands of service companies trust ResQ to streamline their repair and maintenance operations while enhancing profitability.

Our mission to "create economic empowerment for the service industry" drives everything we do. We are deeply committed to supporting local trades and facilities - the vital backbone of our communities. These unsung heroes pour years of grit, sweat, and sacrifice into building their companies, often facing significant challenges.

Many local service businesses face intense competition from larger corporations equipped with substantial resources and market advantages. ResQ is changing that by providing local businesses with intelligent, AI-powered tools that enable these businesses to operate more efficiently, intelligently, and profitably. We believe that when local service businesses succeed, entire communities 🫶 thrive. That’s why ResQ is dedicated to empowering the individuals who keep our world running smoothly.
Keep reading to learn more about the problem we are solving for our customers!

Hello 👋 Future Res Qer,

ResQ is looking for a Full Stack Engineer to help design, build, and scale our cloud-based systems (primarily on AWS). You’ll collaborate with senior engineers on technical decisions, contribute to best practices in architecture and security, and take ownership of meaningful projects that directly impact thousands of restaurants and trades businesses across North America.

As a Full Stack Engineer at ResQ, you will be responsible for developing tools and applications that keep restaurants and businesses running smoothly, seamlessly connecting them to a trusted network of vendors. You’ll work across the stack to deliver features end-to-end, from database design to front-end user experience.

ResQ runs on a distributed cloud architecture. Our monolith is written in Django/Python
, backed by S3, Postgres, Redis, and Cloud Front
. Our front-end applications are written in React, React Native, and Type Script . We make extensive use of automated testing and practice continuous deployment, enabling us to release early and often.

What you will do:

• Build and maintain scalable systems using AWS (EC2, S3, RDS, Lambda, ECS, etc.)
• Contribute to system design and collaborate on technical decisions with senior engineers
• Participate in project planning, providing input on timelines and trade-offs
• Troubleshoot and resolve application and infrastructure issues
• Help design and implement AI-powered features and agents using large language models (LLMs)
• Work closely with product and customer teams to deliver AI-driven solutions that improve the customer experience
• Apply prompt engineering and experiment with emerging tools (e.g., Cursor, Claude) to speed up development and unlock new capabilities

Who you are:

• Bachelor’s or Master’s degree in Computer Science, IT, or equivalent practical experience
• 4-5 years in software engineering (web and/or mobile focus)
• Solid understanding of AWS services (compute, storage, networking, databases, security)
• Familiarity with cloud architecture concepts, serverless, and containers
• Experience with CI/CD pipelines, Docker, and ideally Kubernetes or Terraform
• Strong knowledge of databases and data modeling
• Experience building APIs (Graph
  
  QL or REST)
• Proficient in Python, Type Script, React, and React Native
• Strong communicator who enjoys working cross-functionally
• Customer-focused and eager to build products that raise the bar on user experience

Nice to Haves:

We're on a mission to redefine how trades and restaurant businesses engage with technology. With the power of AI, we're building faster and creating experiences that simply weren’t possible five years ago. While not required, the following would help you stand out as a candidate:

• Curiosity about AI tools that make developers more efficient
• Experience working with or creating AI-powered agents
• Awareness of the latest trends in AI, especially multimodal LLMs, agentic systems, RAG (Retrieval-Augmented Generation), and AI-driven search

Want to learn more? 👀 Keep Reading!

We are a mission-driven team and have a big…