Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter.
Role Overview
We are looking for a Deployment & Maintenance Software Engineer to support the setup, deployment, and ongoing reliability of our software and hardware across client projects.
In this role, you will manage server configurations, oversee deployments, monitor live systems, and help keep performance and uptime high. You will work closely with Project Management, Software Systems, and System/DevOps teams to troubleshoot issues, improve configurations, and continuously raise the quality of what we deliver after go-live.
Key Responsibilities
- Configure and maintain Derq’s software for stable, optimal performance
- Troubleshoot and resolve server issues quickly to minimize downtime
- Plan and execute software releases, updates, and security patches
- Ensure configurations are consistent, compliant, and repeatable across deployments
- Deploy and set up software on new hardware and new sites efficiently
- Monitor deployed systems and continuously improve performance and uptime
- Identify process gaps and implement practical improvements to speed up deployments and reduce incidents
- Maintain clear documentation for configurations, deployments, and system status
- Collaborate with engineering teams to support smooth integrations and issue resolution
- Troubleshoot deployment and network issues using standard tools (e.g., SSH, ping, traceroute)
- Participate in occasional shifts to support global clients and maintain reliability