Job Description
HeadSpin is a global omnichannel digital experience testing platform that helps enterprises optimize application performance with its data science capabilities. With a strong infrastructure availability of real devices across 90+ locations, the HeadSpin Platform enables manual and automated app testing with a wide range of devices, including both screen and screenless devices, such as mobile phones, desktop browsers, media players, audio devices, and even automotive systems.
The Platform has an extensive on-prem and cloud-hosted device infrastructure that uses data science-driven performance and quality of experience analytics to collect over 100+ performance experience KPIs out of the box and provide performance analysis and monitoring across the engineering cycle. The Platform's advanced capabilities enable leading global enterprises to achieve an improved digital experience, faster triage, and cost efficiency.
What you’ll do
HeadSpin is looking for a skilled engineer to evaluate, recommend and implement video stream monitoring and analysis tooling for product development and engineering teams. The role would involve three different aspects of the HeadSpin product:
- Develop and improve testing procedures needed that accurately evaluate video streaming quality and anomalies over time from mobile, OTT, and TV platforms
- Develop a software and hardware approach to enable uninstrumented evaluation of DRM content stream
- Work closely with support teams to address and resolve issues in a timely manner.
- Write technical documentation for engineering and support teams.
- Design, develop, and maintain high-quality, performant, and secure software applications using Python
- Effectively communicate technical subject matter to non-technical audiences.
- Review and provide feedback on code reviews to ensure high code quality and alignment with product vision and goals.
- Work with other team members to design and deliver software solutions in a distributed system environment.
- Participate in agile development processes including sprint planning, daily stand-ups and sprint retrospectives.
Necessarily skills
Core Video Analytics (Essential)
- Anomaly Detection: Detecting lag, app performance issues, buffer underruns, frame drops, and streaming interruptions in real-time
- Performance Analysis: Analyzing streaming metrics including bitrate adaptation, startup time, rebuffering events, and quality switching patterns
- Video Quality Assessment: Implementing objective and subjective quality metrics (PSNR, SSIM, VMAF, MOS) for content evaluation
- Video/Audio ML Models: Experience with machine learning models for video content analysis, quality prediction, and automated assessment
- Video Analysis Tools: Proficiency with UVQ (Universal Video Quality), FFMPEG for deep video analysis, and custom quality measurement frameworks
Streaming Technology Stack
- Experience with real-time audio/video streaming stacks
- Codecs such as H.264, H.265, AV1, VP9
- Tools: FFMPEG, UVQ, ITU-T standards, WebRTC, Android SDK, Xcode, Tizen SDK, Vizio SDK, AWS, Nginx
- Reference free scoring of video and audio using existing tools and technology
- Device based rendering of video on mobile devices, streaming boxes and Smart TVs
- Screen Capture decoding for DRM (Macrovision, HDCP)
- Video Testing and Anomaly detection capabilities
- Cloud video storage approaches
- WebRTC and audio/video live streaming technologies or voice/video over IP
Bonus points
- Excellent problem-solving skills to solve sophisticated issues
- Ability to work in macOS and Linux command-line environments
- Understanding of and experience using source control software such as git
- Understanding of machine learning concepts and algorithms
- Understanding of and experience with back-end development and technologies, such as:
- SQL, NoSQL databases
- Understanding of Web Sockets, REST APIs and HTTP requests
- Experience with backend development languages such as:
- Able to read and implement technical specifications
- Able to collaborate on developing project specifications
- Able to communicate technical details to non-technical support staff in a solution-oriented manner
Required Experience
- 8+ years experience working in a backend software engineering role.
Required Education
- BE in Computer Science or Information Science or MCA with at least Android / iOS knowledge
