Derq

• 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

• Design, develop, and maintain production-grade software systems across edge and cloud with a focus on performance, reliability, and low latency • Build and optimize real-time data processing and inference pipelines, integrating ML models into production systems • Implement features and enhancements within existing system architecture and design guidelines • Profile, optimize, and debug system behavior across CPU, memory, I/O, networking, and distributed systems • Troubleshoot and resolve complex production issues across application, OS, and network layers • Support and optimize edge systems, including hardware–software integration with sensors, cameras, and traffic controllers • Build and operate reliable edge coordination systems (e.g., heartbeats, failover and recovery mechanisms) • Design and maintain backend services, APIs, and internal tools for system operation and monitoring • Improve system observability through logging, monitoring, diagnostics, and performance tracking • Design and maintain networking components (e.g., VPNs, proxies, routing, secure edge–cloud connectivity) • Develop and maintain CI/CD pipelines for build, packaging, deployment, and rollback across edge and cloud environments • Implement secure access control and system isolation mechanisms on Linux-based systems • Collaborate with ML, QA, and deployment teams to integrate, test, and support systems in real-world deployments

Role Description We’re looking for a Software Engineer to work on real-time, performance-critical systems powering traffic detection and smart mobility solutions. - Focus on building and optimizing software that runs across edge devices and cloud systems. - Strong exposure to low-latency processing, system performance, and hardware integration. - Own and contribute to critical system components end-to-end, including system behavior in production—covering performance, reliability, observability, networking, and deployments. - Primarily a real-time / edge systems role, with backend exposure and light frontend work for internal tools, dashboards, APIs, and system monitoring. - Work on live traffic deployments, where robustness, fault tolerance, and performance directly impact safety-critical infrastructure. Qualifications - 3–5 years of experience in software engineering or a related field. - Strong experience in real-time systems, high-performance backend systems, or edge/embedded computing. - Proficient in C++ or Python (both is a strong plus). - Solid understanding of Linux systems, multithreading, concurrency, and system performance optimization. - Experience debugging complex systems in production environments. - Experience with testing frameworks and CI/CD pipelines. - Working knowledge of networking fundamentals (TCP/IP, DNS, routing, basic VPN/proxy concepts). - Exposure to hardware integration, sensors, or edge devices is a plus. - Familiarity with computer vision pipelines or ML systems is a plus. Requirements - Design, develop, and maintain production-grade software systems across edge and cloud with a focus on performance, reliability, and low latency. - Build and optimize real-time data processing and inference pipelines, integrating ML models into production systems. - Implement features and enhancements within existing system architecture and design guidelines. - Profile, optimize, and debug system behavior across CPU, memory, I/O, networking, and distributed systems. - Troubleshoot and resolve complex production issues across application, OS, and network layers. - Support and optimize edge systems, including hardware–software integration with sensors, cameras, and traffic controllers. - Build and operate reliable edge coordination systems (e.g., heartbeats, failover and recovery mechanisms). - Design and maintain backend services, APIs, and internal tools for system operation and monitoring. - Improve system observability through logging, monitoring, diagnostics, and performance tracking. - Design and maintain networking components (e.g., VPNs, proxies, routing, secure edge–cloud connectivity). - Develop and maintain CI/CD pipelines for build, packaging, deployment, and rollback across edge and cloud environments. - Implement secure access control and system isolation mechanisms on Linux-based systems. - Collaborate with ML, QA, and deployment teams to integrate, test, and support systems in real-world deployments. Benefits

Role Description As a Senior Software Engineer at Derq, you will focus on designing, developing, and optimizing production systems that power our real‑time traffic and safety solutions. This is a hands-on engineering role with full ownership of code, performance, and system behavior from development through deployment. You will work on performance‑critical, edge‑deployed systems, improving efficiency, reliability, scalability, and overall system behavior under real‑world conditions. This role sits between software engineering and systems engineering—with a strong focus on shipping production‑ready solutions rather than research or pure architecture leadership. You will work in our standard C++ on Linux stack (CMake-based builds, shared libraries, and deployment patterns consistent with our production roadside / edge software). Key Responsibilities - Design, develop, and maintain production‑grade software systems with a focus on performance, reliability, and scalability. - Optimize system behavior for real‑time, low‑latency environments, including edge and cloud components. - Design, implement, and refine core system logic that improves platform performance, reliability, and scalability under real‑world conditions. - Profile, analyze, and optimize system performance across CPU, memory, I/O, and networking. - Improve system observability through logging, monitoring, and diagnostics. - Work on end‑to‑end development, from design and implementation to testing, deployment, and support. - Collaborate with Deployment, ML, and Systems teams to validate and support improvements in production‑like and live environments. - Debug and resolve complex production issues involving distributed or real‑time systems. - Write clean, maintainable, and well‑tested code following engineering best practices. - Participate in code reviews and contribute to improving engineering standards and tooling. - Support production systems post‑deployment and assist with performance tuning and issue resolution. Qualifications - Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field. - 10+ years of professional experience in software engineering, systems engineering, or performance‑critical systems. - Strong hands‑on experience with modern C++. - Solid experience working with Linux‑based systems. - Experience building and optimizing real‑time, high‑throughput, or low‑latency systems. - Strong understanding of data structures and algorithms. - System performance and resource optimization. - Debugging complex system behavior. - Experience with automated testing, system validation, and production debugging. - Familiarity with distributed systems concepts and system reliability. - Strong problem‑solving skills and ownership mindset.

• Design, develop, and maintain production‑grade software systems with a focus on performance, reliability, and scalability • Optimize system behavior for real‑time, low‑latency environments, including edge and cloud components • Design, implement, and refine core system logic that improves platform performance, reliability, and scalability under real‑world conditions. • Profile, analyze, and optimize system performance across CPU, memory, I/O, and networking • Improve system observability through logging, monitoring, and diagnostics • Work on end‑to‑end development, from design and implementation to testing, deployment, and support • Collaborate with Deployment, ML, and Systems teams to validate and support improvements in production‑like and live environments. • Debug and resolve complex production issues involving distributed or real‑time systems • Write clean, maintainable, and well‑tested code following engineering best practices • Participate in code reviews and contribute to improving engineering standards and tooling • Support production systems post‑deployment and assist with performance tuning and issue resolution

• Triage and respond to incoming support tickets via Zendesk (email, phone, portal), logging and tracking all interactions in accordance with SLA guidelines. • Diagnose and resolve L1 issues, including connectivity, device status, user access, configurations, and dashboard/UI problems. • Guide customers through troubleshooting steps for hardware (cameras, sensors, roadside units) and software (web portals, alerts, integrations). • Troubleshoot server, network, and application‑level issues using tools such as SSH, logs, and basic diagnostics. • Investigate system performance, configuration, data flow, and deployment incidents by analyzing logs, metrics, and system outputs to identify root causes. • Monitor system health dashboards and proactively flag anomalies before customers report them. • Escalate complex issues to L2 and L3 (engineering) teams, providing thorough documentation of symptoms, troubleshooting steps taken, and environment details. • Assist with onboarding new customers by verifying device provisioning, connectivity, and system readiness. • Document incidents, investigations, fixes, and known issues, contributing to runbooks, internal knowledge base articles, and customer‑facing FAQs. • Maintain and improve support documentation and processes to drive continuous operational improvements and faster issue resolution.

Role Description As a Technical Support Software Engineer, you will serve as the Level 1 (L1) support and primary point of contact for customers using Derq’s hardware, software, and connected roadside systems. You will triage incoming support tickets, independently resolve common issues, and escalate more complex cases to L2 and L3 (Engineering) teams with clear and thorough documentation. You will operate in a fast‑paced environment where end users are city engineers and transportation officials, requiring strong technical communication, structured troubleshooting, and a high standard of reliability. Key Responsibilities - Triage and respond to incoming support tickets via Zendesk (email, phone, portal), logging and tracking all interactions in accordance with SLA guidelines. - Diagnose and resolve L1 issues, including connectivity, device status, user access, configurations, and dashboard/UI problems. - Guide customers through troubleshooting steps for hardware (cameras, sensors, roadside units) and software (web portals, alerts, integrations). - Troubleshoot server, network, and application‑level issues using tools such as SSH, logs, and basic diagnostics. - Investigate system performance, configuration, data flow, and deployment incidents by analyzing logs, metrics, and system outputs to identify root causes. - Monitor system health dashboards and proactively flag anomalies before customers report them. - Escalate complex issues to L2 and L3 (engineering) teams, providing thorough documentation of symptoms, troubleshooting steps taken, and environment details. - Assist with onboarding new customers by verifying device provisioning, connectivity, and system readiness. - Document incidents, investigations, fixes, and known issues, contributing to runbooks, internal knowledge base articles, and customer‑facing FAQs. - Maintain and improve support documentation and processes to drive continuous operational improvements and faster issue resolution. Qualifications - Bachelor’s degree in Computer Science, IT, Engineering, or a related field. - 1–3+ years of experience in technical support, help desk, NOC, or operations roles. - Hands‑on experience with Linux/Ubuntu and basic command‑line usage. - Working knowledge of server, application, and basic database troubleshooting. - Strong understanding of networking fundamentals (IP, ports, VLANs, VPNs, firewalls, SSH). - Experience analyzing logs and performing system diagnostics. - Basic scripting or automation skills (Python, Bash, or Node.js). - Experience with ticketing systems such as Zendesk or Jira. - Experience supporting SaaS platforms and/or IoT devices. - Exposure to IP cameras or networked hardware is a plus. - Strong problem‑solving skills and attention to detail. - Ability to follow and improve troubleshooting runbooks and documentation. - Clear written and verbal communication skills in English. - Calm and methodical when handling production incidents. - Ability to participate in on‑call rotations with reliable internet and power.