Senior Quality Assurance Engineer
3 days ago
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.
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