Role OverviewWe're looking for a Senior Software Engineer to work on real-time systems powering traffic detection and smart mobility solutions while also contributing to web applications, APIs, and third-party integrations.
This role combines systems engineering and software development, with approximately 75% of the work focused on real-time edge and backend systems and 25% focused on application development, integrations, and operational tooling. You'll work across Linux-based systems, cloud-connected services, internal tools, dashboards, and live traffic deployments where reliability, performance, and scalability are critical.
Key Responsibilities- Design, develop, and maintain production-grade software systems across edge and cloud environments.
- Build and optimize real-time data processing pipelines and system services supporting live traffic deployments.
- Develop and maintain backend services, REST APIs, and integrations with third-party platforms and services.
- Contribute to internal web applications, dashboards, and operational tools used for monitoring and managing deployed systems.
- Integrate software with sensors, cameras, traffic controllers, and other edge devices.
- Profile, debug, and optimize system performance across application, operating system, and networking layers.
- Troubleshoot and resolve complex production issues in distributed and real-time environments.
- Improve system observability through logging, monitoring, diagnostics, and performance tracking.
- Build and maintain CI/CD pipelines, deployment workflows, and automation tooling.
- Collaborate with ML, QA, deployment, and product teams to deliver robust, production-ready solutions.
Requirements- 8+ years of experience in software engineering or a related field
- Strong experience with C++, Python, or both.
- Solid Linux development experience.
- Experience building, maintaining, or integrating backend services, REST APIs, and web applications.
- Experience working with third-party APIs and software integrations.
- Strong understanding of multithreading, concurrency, system performance, and production troubleshooting.
- Working knowledge of networking fundamentals, including TCP/IP, DNS, routing, and secure connectivity.
- Experience with Git, testing frameworks, and CI/CD practices.
- Experience with cloud platforms, containerized applications, or distributed systems is a plus.
- Exposure to edge computing, embedded Linux, hardware integration, sensors, or IoT systems is a plus.
- Familiarity with frontend technologies, internal tooling, dashboards, or operational web applications is a plus.
- Familiarity with computer vision pipelines or ML-powered systems is a plus.
