Senior Software Engineer building real-time C++/Linux edge and cloud systems for Derq, an AI-powered traffic-safety company.
Developing APIs, integrations, dashboards, and deployment tooling for safer smart-mobility infrastructure.
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
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