Sr Advanced Software Engr

Roles & Responsibilities

Testing

Understand business requirements and design/develop robust manual test cases focusing in end user deployments.

Analyze business requirements and develop robust automation suites for the defined scope. Execute and identify 30 % issues via automation & CI/CD daily runs.

Ensure 100% end-to-end test coverage through test automation, ensuring product development aligns with business needs.

Expert in Performance Engineering and have experience in using any one of these performance testing tools- LoadRunner/Jmeter/Gatling/WebLOAD/ NeoLoad

Test Strategy & Lab Architecture: Design, implement, and own comprehensive test plans, methodologies, and specialized lab setups (using charts like Imatest, ISO standards, and controlled lighting environments) for advanced CCTV evaluations

Technical Mentorship & Collaboration: Provide technical guidance to junior QA engineers and present detailed test plan, regression, reliability, and risk-assessment reports to cross-functional R&D stakeholders

Advanced Image quality & Optics Benchmarking: Lead objective and subjective evaluation of critical image quality metrics (SNR, dynamic range, spatial resolution/MTF, color rendering, and low-light sensor performance)

Test Automation Development: Architect and maintain automated test scripts (primarily using Python, MATLAB, or C++) to parse test video streams, simulate environmental shifts, and automate data collection

Test Environment Planning

• Plan and estimate test environment requirements based on release Requirement, roadmap, project demands and capacity Design environment strategy
• Creation of new environments with the help of Coordinate with Infra, Network, DBA, DevOps and Vendor teams
• Ensure all test environments are up, running and in working condition 24x7
• Maintain SOPs, environment architecture diagrams, access list, inventory tracker

Mandate Skills

Experience: 8 to 10 + years in engineering R&D environments specializing in camera validation, Image Signal Processing (ISP) tuning, or embedded multimedia systems.

Core Knowledge: Strong foundation in camera systems architecture, optical principles (lenses, FoV, apertures), and CMOS sensor behaviors.

Tools Expertise: Proficiency with Imatest (or similar IQ analysis suites), video stream analyzers, and oscilloscope/logic analyzers.

Programming: Hands-on scripting experience in Python, Linux shell, or C/C++ to build robust automation suite for camera feature and Integration testing with headend system.

Network & Embedded Protocols: Experience with RTSP/RTP protocols, H.264/H.265 compression algorithms, and hardware serial interfaces- Fair understanding of compliance with global and local deployment regulations (such as STQC, ONVIF, or NDAA) related to camers.

AI Analytics Validation: Design and execute test matrices to validate the accuracy, precision, and latency of edge-AI algorithms (e.g., Object Detection, Facial Recognition, Automatic Number Plate Recognition (ANPR), and Intrusion Alerts).

Soft Skills

• Proactive, ownership and Delivery mindset
• Strong analytical , RCA and Problem-solving skills
• Good communication and stakeholder management
• Able to work under pressure and support quality on time release.