Quality Assurance Engineer

Hiring : Senior QA Engineer – Multimedia & AI Platforms

Experience :

7+ Years (5+ Years in Automation)

Budget : ₹1.9 LPM

Location :

Bangalore (Hybrid / On-site)

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

– including web applications, APIs, backend services, and automated workflows.

You’ll 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 – 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 –

Unit, Integration, UI, and API .

Hands-on experience integrating test automation into

CI / CD pipelines .

Key Responsibilities :

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).

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.

Automation Engineering

Build automation frameworks from scratch for UI, API, backend, and system-level testing.

Select the best tech stack – optimize for speed, maintainability, and coverage.

Own automation pipelines integrated with CI / CD workflows.

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.

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.