Software Engineer (Ref 26495)

Responsibilities

• Research, design, development, and enhancement of multimedia analytics software suites (data, audio, and video), driving scalability, innovation, and seamless integration with diverse physical sensors, automated systems, and scanning hardware.

• End-to-end technical execution and hands-on system implementation, including architectural design, deployment, configuration, performance optimization, and troubleshooting of proprietary solutions, database systems, and third-party COTS platforms to ensure high reliability.

• Formulation and execution of comprehensive benchmarking regimes, technical trials, and Proof of Concept (POC) evaluations to validate software performance, verify system boundaries, and demonstrate technical competitive advantages.

• Creation and delivery of technical training materials, software demonstration tools, and presentation content to facilitate client enablement, interactive product showcases, and high- impact solution onboarding.

Requirements

• Bachelor’s degree in computer science, Information Technology, or an equivalent engineering discipline, with 4-7 years of progressive software development experience featuring a strong emphasis on hardware-software integration.

• Deep, hands-on development experience in C/C++ and .NET across both Windows and Linux environments (including VMware), with a focus on writing high-performance, maintainable code.

• Experience managing and optimizing MS SQL or MySQL databases, alongside integrating distributed systems via MQTT, REST APIs, Web Services, and XML/SOAP. 

• Demonstrated experience architecting, hosting, and deploying software applications and web platforms locally. Candidates should possess strong capabilities with web servers (IIS, Apache, or Nginx), local containerization (Docker/Kubernetes), CI/CD pipelines, and bare-metal server configuration within private enterprise networks. Prior experience with public cloud environments is advantageous but not mandatory.

• Practical knowledge of Cameras, ONVIF protocols, and the methodologies required to interface software with diverse physical sensors, scanning devices, or COTS systems.

• Exposure to Machine Learning concepts; preference will be given to candidates who demonstrate the ability to leverage AI methodologies to streamline processes and drive systemic efficiency.

• Excellent verbal/written skills with a track record of writing clean technical documentation (design specs, user guides) and delivering product demos to customers.

• Passion for data analytics and photography/imaging technologies.

• Positive, proactive, hands-on attitude and a strong aptitude for continuous learning.

Licence no: 12C6060