๐ Hiring : Senior QA Engineer โ Multimedia & AI Platforms
Experience : 7+ Years (5+ Years in Automation)
๐ฐ Budget : โน1.9 LPM
๐ Location : Bangalore (Hybrid / On-site)
๐ Employment Type : Full-Time
About the Role :
We are looking for an experienced Senior QA Engineer to take ownership of quality assurance across AI-driven multimedia platforms โ including web applications, APIs, backend services, and automated workflows.
Youโll be responsible for defining QA strategy, building automation frameworks, and ensuring performance and reliability across cutting-edge AI products like Velocity and Agentic AI .
Required Skills & Experience :
- 7+ years of QA experience in product / platform environments.
- Proven track record of owning QA across complex, scalable systems (Web Apps, APIs, Backend).
- Hands-on experience testing multimedia assets โ video, audio, and image workflows.
- Prior experience with cloud-native , ML-powered , or agent-based platforms.
- Ability to identify test coverage gaps and proactively mitigate quality risks.
Automation Expertise :
5+ years of strong automation experience.Proven ability to build and scale automation frameworks from scratch.Expertise in automating tests across all levels โ Unit, Integration, UI, and API .Hands-on experience integrating test automation into CI / CD pipelines .Key Responsibilities :
๐น Platform Quality Ownership
Lead QA strategy & execution for Velocity and Agentic AI .Ensure quality across UI, API, backend, integrations (LLMs, cloud services), and outputs (images, video, audio, JSON).๐น Functional & Exploratory Testing
Plan, execute, and report functional tests across multimedia workflows and user-facing tools.Validate end-to-end experiences including video rendering accuracy, agent fallback logic, and API reliability.๐น Automation Engineering
Build automation frameworks from scratch for UI, API, backend, and system-level testing.Select the best tech stack โ optimize for speed, maintainability, and coverage.Own automation pipelines integrated with CI / CD workflows.๐น Performance & Resilience Testing
Identify quality risks (concurrency issues, multimedia processing failures, LLM timeouts, agent orchestration failures).Conduct performance, load, and regression testing to ensure platform robustness.๐น Cross-Functional Collaboration
Work closely with Engineering, Product, Design, and AI teams to maintain quality in rapid release cycles.Contribute to sprint planning, backlog refinement, and retrospectives with quality-focused insights.