Derq

Role Description We’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. Qualifications - 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.

Role Description We are looking for a Full-Stack Software Engineer to join our growing engineering team. In this role, you will work across frontend, backend, and cloud infrastructure to build scalable, high-availability products and services powering intelligent transportation systems. You will contribute to customer-facing applications, backend APIs, cloud-native services, and data pipelines that support real-time analytics, complex workflows, and production-critical operations. This role is ideal for someone who enjoys owning features end-to-end, building for scale, and working in a fast-moving environment where engineering has direct impact on real-world deployments. Key Responsibilities - Design, develop, and maintain full-stack applications across frontend and backend systems - Build responsive and scalable frontend applications using React (Remix), TypeScript, and Vue.js - Develop backend services and APIs using NestJS and modern microservice architectures - Design and optimize integrations with relational databases and data platforms - Build and maintain event-driven cloud pipelines using AWS services such as S3, SQS, Lambda, Cognito, and API Gateway - Develop ETL and data transformation workflows using Python - Deploy and manage containerized applications using Docker and Kubernetes (EKS) - Contribute to CI/CD pipelines using GitHub Actions and ArgoCD - Collaborate with product, engineering, and deployment teams to deliver reliable production-ready solutions - Troubleshoot production issues, improve system performance, and support scalability initiatives - Participate in technical discussions, architecture reviews, and engineering best practices Qualifications - 7+ years of experience in Full‑Stack engineering, working across frontend, backend, and production environments - Experience building scalable, high-availability platforms that support large user volumes, complex workflows, and production-critical operations - Strong frontend experience with React (Remix), TypeScript, and Vue.js (Vue 2 – legacy) - Backend experience using NestJS and building APIs / microservices - Solid experience with relational databases (RDBMS) and familiarity with MongoDB and Amazon Redshift - Hands‑on experience with public cloud platforms (AWS preferred) and services such as S3, SQS, Lambda, Cognito, and API Gateway - Experience building event‑driven pipelines (S3 → SQS → Lambda), using Python for ETL and data transformation - Experience with CI/CD pipelines (GitHub Actions, ArgoCD) and containerized deployments using Docker and Kubernetes (EKS) - Comfortable working independently, taking ownership, and operating in a fast‑moving environment

• Configure and deploy Derq’s edge and cloud‑based traffic safety solutions across customer sites. • Use Derq’s Deployment Manager and internal tools to onboard new sites and configure intersection layouts, detection zones, event mappings, cameras, sensors, traffic controllers, and V2X integrations. • Support deployment planning and readiness, coordinating configuration activities, identifying risks early, and ensuring prerequisites are completed prior to go‑live. • Act as a senior technical escalation point for deployment and configuration issues, working closely with Engineering, Product, Project Management, and Support teams. • Troubleshoot complex technical issues across Linux servers, networking, sensors, cameras, traffic controllers, cloud connectivity, and software deployments. • Monitor live systems, investigate alerts, support incident response, and drive root cause analysis for recurring operational issues. • Develop scripts, automation, and tooling improvements to reduce manual effort and improve deployment quality, consistency, and speed. • Contribute to GitHub repositories, including configuration files, deployment workflows, and internal tooling. • Create and maintain deployment guides, runbooks, troubleshooting documentation, and configuration best practices. • Support knowledge sharing across the team and help improve the consistency, quality, and scalability of Derq’s deployment operations.

Role Description We are looking for a Senior Deployment & Configuration Engineer to lead the setup, configuration, deployment, and reliability of our software and hardware solutions across client projects. In this role, you will: - Own complex deployments, manage server and system configurations, validate production readiness, monitor live systems, and troubleshoot technical issues after go-live. - Work closely with Project Management, Software Systems, and DevOps teams to improve deployment quality, standardize configurations, and keep performance and uptime high. - Support process improvements, documentation, and knowledge transfer to help scale delivery across projects. Key Responsibilities - Configure and deploy Derq’s edge and cloud‑based traffic safety solutions across customer sites. - Use Derq’s Deployment Manager and internal tools to onboard new sites and configure intersection layouts, detection zones, event mappings, cameras, sensors, traffic controllers, and V2X integrations. - Support deployment planning and readiness, coordinating configuration activities, identifying risks early, and ensuring prerequisites are completed prior to go‑live. - Act as a senior technical escalation point for deployment and configuration issues, working closely with Engineering, Product, Project Management, and Support teams. - Troubleshoot complex technical issues across Linux servers, networking, sensors, cameras, traffic controllers, cloud connectivity, and software deployments. - Monitor live systems, investigate alerts, support incident response, and drive root cause analysis for recurring operational issues. - Develop scripts, automation, and tooling improvements to reduce manual effort and improve deployment quality, consistency, and speed. - Contribute to GitHub repositories, including configuration files, deployment workflows, and internal tooling. - Create and maintain deployment guides, runbooks, troubleshooting documentation, and configuration best practices. - Support knowledge sharing across the team and help improve the consistency, quality, and scalability of Derq’s deployment operations. Qualifications - 5–7 years of experience in deployment, configuration, systems engineering, or a related technical role. - Strong hands‑on experience with Linux server administration, including troubleshooting, log analysis, service monitoring, and performance diagnostics. - Solid networking knowledge, including TCP/IP, routing, DNS, DHCP, NAT, VPNs, VLANs, firewalls, and port forwarding. - Experience deploying, configuring, and supporting production systems in customer environments. - Hands‑on scripting experience with Python and Bash/Shell to automate operational tasks and improve deployment efficiency. - Experience working with Git and GitHub workflows, including commits, pull requests, and version control best practices. - Good understanding of cloud and infrastructure concepts, particularly AWS, Docker, and CI/CD pipelines. - Experience with edge computing, IoT systems, connected devices, video analytics, or hardware‑integrated software solutions. - Strong ability to troubleshoot across software, infrastructure, networking, and connected devices. - Experience creating technical documentation, including runbooks, configuration guides, and troubleshooting procedures. - Experience with ITS, traffic controllers, SPaT/MAP, V2X, smart city deployments, or traffic management systems is a strong plus.

Role Description 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. - Manage server configurations - Oversee deployments - Monitor live systems - Help keep performance and uptime high - 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 Qualifications - Bachelor’s degree in a relevant field (Computer Science, Information Technology, Electrical Engineering, or similar) - 2-3 years of experience in server configuration, maintenance, and deployments - Hands-on experience in Linux/Ubuntu environments, including: - Basic Bash scripting (e.g., creating folders, generating multiple files) - Basic Python scripting for automation - Solid understanding of networking fundamentals, including: - SSH and secure connections (ports, authentication methods) - Public vs private IP addresses - TCP vs UDP - Routing concepts (static vs dynamic) - NAT, port forwarding, and port mapping - Strong troubleshooting skills with a practical, step-by-step approach to resolving connectivity issues and server downtime - Familiarity with common diagnostic tools (e.g., ifconfig/ipconfig, ping, traceroute) - Strong communication skills and ability to work well with cross-functional teams - Willingness and ability to overlap 4–5 hours daily with global teams for collaboration, with on-call support if needed (stable power and reliable internet required for remote work) - High learning agility and comfort adapting to new tools, systems, and processes Requirements - Good to have: - Understanding of hardware components and on-site infrastructure - Experience with cloud platforms (AWS, GCP, or Azure) - Familiarity with virtualization and containerization (e.g., VMware, Docker) - Exposure to configuration management tools (e.g., Ansible, Puppet, Chef)

Role Description As a ML Quality Assurance Engineer at Derq, you will play a critical role in ensuring the reliability, accuracy, and performance of our computer vision and machine learning based products. You will work closely with our development team to design and execute comprehensive test strategies, identify and report defects, and help improve the overall quality of our customer facing AI products, using data analytics. Key Responsibilities - Collaborate with AI development and product teams to understand product requirements and design effective test plans and test cases for AI based products - Strategize evaluation methodologies, gathering data and evaluation reporting - Perform data analytics on large datasets - Monitor and track anomalies within product’s content and statistics - Train and deploy ML models to help boost product performance - Create and maintain detailed documentation of test processes, methodologies, and findings - Keep up to date with advancements in the field to optimize internal processes and workflows - Interface and coordinate with Engineering team - Foster a collaborative, proactive team environment that values shared success. Qualifications - Bachelor’s degree in an analytical domain such as Machine Learning, Computer Science, or a related discipline - Python, Javascript and SQL Knowledge/Experience - Familiarity with classical Machine Learning Models such as Random Forest, SVM, Naive Bayes - Core understanding of mathematical concepts for statistical inference - Hands on with spreadsheet based querying and analytics - Proficient with annotation tools such as CVAT - Excellent knowledge of word processing tools and spreadsheets (MS Office Word, Excel etc.) - Good command of English both oral and written and reporting skills - Knowledge of basic statistical principles coupled with logical thinking, coherent reasoning and a detail-oriented attitude

• Secure the end-to-end platform, from Linux-based edge devices to cloud infrastructure, APIs, and data pipelines. • Identify, assess, and remediate security risks across applications, backend services, and deployed devices. • Conduct threat modeling across edge-to-cloud data flows, including video, sensor data, and metadata pipelines. • Harden edge devices, including OS security, SSH access, credential management, and patching practices, especially in physically accessible environments. • Secure cloud environments (AWS preferred), including IAM, network security, encryption, secrets management, and logging. • Support secure design and architecture reviews for new features and deployments. • Implement and improve **CI/CD security**, vulnerability scanning, and monitoring practices. • Monitor and respond to security incidents, including compromised devices or unauthorized access, and lead post-incident reviews. • Define and improve security policies, standards, and controls aligned with practical engineering needs. • Support compliance efforts such as ISO 27001, SOC 2, and customer security reviews. • Work closely with Engineering and Product to embed security into development without slowing delivery. • Contribute to internal security awareness, documentation, and best practices.

Role Description We are looking for a hands-on Senior Security Engineer to help secure our end-to-end platform, from Linux-based edge devices deployed in the field to our cloud infrastructure, APIs, and data pipelines. This is not a pure compliance role. The focus is practical security engineering: - Identifying risks - Fixing vulnerabilities - Working closely with Engineering, Product, and Infrastructure teams to build security into how we design, deploy, and operate Our platform includes edge units deployed in roadside cabinets, processing real-time video and sensor data locally, then syncing insights and metadata to the cloud. This means the role requires someone who can think through real-world risks such as: - Physical access - SSH exposure - Device hardening - Secure data transfer - Cloud security - Incident response Key Responsibilities - Secure the end-to-end platform, from Linux-based edge devices to cloud infrastructure, APIs, and data pipelines. - Identify, assess, and remediate security risks across applications, backend services, and deployed devices. - Conduct threat modeling across edge-to-cloud data flows, including video, sensor data, and metadata pipelines. - Harden edge devices, including OS security, SSH access, credential management, and patching practices, especially in physically accessible environments. - Secure cloud environments (AWS preferred), including IAM, network security, encryption, secrets management, and logging. - Support secure design and architecture reviews for new features and deployments. - Implement and improve CI/CD security, vulnerability scanning, and monitoring practices. - Monitor and respond to security incidents, including compromised devices or unauthorized access, and lead post-incident reviews. - Define and improve security policies, standards, and controls aligned with practical engineering needs. - Support compliance efforts such as ISO 27001, SOC 2, and customer security reviews. - Work closely with Engineering and Product to embed security into development without slowing delivery. - Contribute to internal security awareness, documentation, and best practices. Qualifications - 6 to 8+ years in security engineering, application security, cloud security, or infrastructure security. - Hands-on experience securing production systems, not only compliance or audit. - Strong knowledge of Linux security, hardening, access controls, and patching. - Strong understanding of web application security, including OWASP Top 10. - Experience securing cloud platforms, preferably AWS, including IAM, networking, encryption, logging, and secrets management. - Experience with CI/CD security, vulnerability scanning, monitoring, and incident response. - Ability to threat model edge-to-cloud systems, APIs, data pipelines, and deployed devices. - Comfortable working closely with Product and Engineering to explain risks and drive fixes. - Scripting or automation skills, such as Python or Bash. - Experience with SOC 2, ISO 27001, or similar frameworks. - Experience in IoT, ITS, smart mobility, embedded systems, or data-heavy platforms is a strong plus. - Open to relocation to UAE after probation, subject to UAE immigration approval.

• Design, develop, and maintain full-stack applications across frontend and backend systems • Build responsive and scalable frontend applications using React (Remix), TypeScript, and Vue.js • Develop backend services and APIs using NestJS and modern microservice architectures • Design and optimize integrations with relational databases and data platforms • Build and maintain event-driven cloud pipelines using AWS services such as S3, SQS, Lambda, Cognito, and API Gateway • Develop ETL and data transformation workflows using Python • Deploy and manage containerized applications using Docker and Kubernetes (EKS) • Contribute to CI/CD pipelines using GitHub Actions and ArgoCD • Collaborate with product, engineering, and deployment teams to deliver reliable production-ready solutions • Troubleshoot production issues, improve system performance, and support scalability initiatives • Participate in technical discussions, architecture reviews, and engineering best practices

Role Description We are looking for a Full-Stack Software Engineer to join our growing engineering team. In this role, you will work across frontend, backend, and cloud infrastructure to build scalable, high-availability products and services powering intelligent transportation systems. You will contribute to customer-facing applications, backend APIs, cloud-native services, and data pipelines that support real-time analytics, complex workflows, and production-critical operations. This role is ideal for someone who enjoys owning features end-to-end, building for scale, and working in a fast-moving environment where engineering has direct impact on real-world deployments. Key Responsibilities - Design, develop, and maintain full-stack applications across frontend and backend systems - Build responsive and scalable frontend applications using React (Remix), TypeScript, and Vue.js - Develop backend services and APIs using NestJS and modern microservice architectures - Design and optimize integrations with relational databases and data platforms - Build and maintain event-driven cloud pipelines using AWS services such as S3, SQS, Lambda, Cognito, and API Gateway - Develop ETL and data transformation workflows using Python - Deploy and manage containerized applications using Docker and Kubernetes (EKS) - Contribute to CI/CD pipelines using GitHub Actions and ArgoCD - Collaborate with product, engineering, and deployment teams to deliver reliable production-ready solutions - Troubleshoot production issues, improve system performance, and support scalability initiatives - Participate in technical discussions, architecture reviews, and engineering best practices Qualifications - 5+ years of experience in Full‑Stack engineering, working across frontend, backend, and production environments - Experience building scalable, high-availability platforms that support large user volumes, complex workflows, and production-critical operations - Strong frontend experience with React (Remix), TypeScript, and Vue.js (Vue 2 – legacy) - Backend experience using NestJS and building APIs / microservices - Solid experience with relational databases (RDBMS) and familiarity with MongoDB and Amazon Redshift - Hands‑on experience with public cloud platforms (AWS preferred) and services such as S3, SQS, Lambda, Cognito, and API Gateway - Experience building event‑driven pipelines (S3 → SQS → Lambda), using Python for ETL and data transformation - Experience with CI/CD pipelines (GitHub Actions, ArgoCD) and containerized deployments using Docker and Kubernetes (EKS) - Comfortable working independently, taking ownership, and operating in a fast‑moving environment