Senior Quality Assurance Engineer

Hiring : Senior QA Engineer – Multimedia & AI Platforms

Location :

Bangalore (Hybrid / On-site)

Employment Type : Full-Time

Budget : ₹1.9 LPM

Experience :

7+ Years (Min. 5+ Years in Automation)

About the Role

We’re looking for an experienced

Senior QA Engineer

to take complete ownership of quality assurance across

AI-driven multimedia platforms , including web applications, APIs, backend services, and automated workflows.

You’ll define the

QA strategy , build

scalable automation frameworks , and ensure

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 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 with 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

to optimize 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.