RapidSOS is transforming emergency response with innovative technology that delivers critical, life-saving data to dispatchers covering 99% of the U.S. population. The company is seeking a Senior Software Engineer, Backend to build the next wave of intelligent emergency technology, focusing on designing and developing modern backend services, APIs, and data workflows to ensure critical information reaches telecommunicators quickly, accurately, and reliably.
Requirements
- 5+ years of professional backend engineering experience with deep expertise in Python
- Experience integrating with RESTful APIs and delivering comprehensive end-to-end solutions in an AWS environment
- Experience working with relational and non-relational databases and message bus systems (RabbitMQ, Kafka, SQS)
- Ideally has experience building AI-driven features or using AI tools to enhance acceleration of development, and is proactive about leveraging emerging technologies
- Strong proficiency in coding best practices – ability to write clean, maintainable, and testable code
- Demonstrated expertise in problem solving – from troubleshooting issues to debugging a large codebase
- Proficiency with real-time communication technologies such as WebSockets
Responsibilities
- Drive the architecture, design, and implementation of new features for RapidSOS UNITE—a Python-based application that handles an average of 500,000 emergency calls daily
- Lead strategic architectural decisions, help drive alignment, and optimize applications for performance, scalability, and accessibility
- Use best-in-class software development practices (unit tests, integration tests, performance tests, monitoring, detailed functional specification and test plans) to ensure RapidSOS' products remain highly reliable and fault tolerant
- Collaborate in an agile environment with stakeholders across Engineering, GTM, Design, and Product to develop solutions for RapidSOS products
- Actively participate in code reviews and standups, sharing knowledge, championing best practices, and contributing to the continuous improvement of team processes
- Identify opportunities to assess and enhance current applications, including refactoring code and upgrading technologies used
- Leverage modern AI development tools (i.e. Claude Code or similar) to accelerate delivery, improve code quality, and raise the overall impact of the team
Other
- Collaborate across teams to help drive architectural decisions, improve performance and scalability, uphold engineering excellence, and champion an AI-forward approach to how we build and ship software.
- Strong communication and interpersonal skills; is a team player with a positive attitude
- Highly self-motivated; ability to adapt and learn quickly in a fast-paced environment with a strong sense of ownership
- Customer-centric mindset; cares deeply about delivering solutions that enable and delight customers while meeting product goals
- Ability and willingness to collaborate in-person a few times per quarter, or as needed
