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Tier-1 brand, metro location, popular Senior SDE title and mid-level experience increase candidate competition.
Specialized video-processing and ML systems create strong domain bias limiting transferability.
Explicit 4–6 years plus mandatory backend, ML, and video-processing technical skills increase shortlisting strictness.
Lead end-to-end development and deployment of video insights use cases integrating video AI models with core backend systems.
Design and implement scalable, distributed processing pipelines for large volumes of video content focusing on low latency, cost, and performance optimization.
Collaborate with cross-functional teams to define feature specifications, build evaluation dashboards, and mentor junior engineers.
4–6 years of backend development experience with strong software engineering fundamentals.
Expertise in Python, Java, or C++ and hands-on experience with ML pipeline production deployment.
Strong knowledge of video processing technologies including codecs, containers, HLS, DASH streaming protocols.
Experience with distributed systems, big data platforms (Spark, Hadoop), and cloud infrastructure (AWS/GCP/Azure); Bachelor's or Master's in Computer Science or related field.
Experienced full-stack engineer comfortable working at the intersection of AI research and product engineering with video AI and backend systems.
Proven ability to own complex projects from conception to production in high-growth, fast-paced environments.
Strong collaborator able to engage with research scientists, data engineers, and product managers to translate complex AI capabilities into scalable features.