About Wingify:
Wingify is backed by
Everstone Capital
,
a leading global private equity firm with assets under management exceeding USD 8 billion across India and Southeast Asia.
We are a global SaaS company building category-leading products in Digital Experience Platform Founded in India, Wingify is best known for its flagship product
VWO
(Visual Website Optimizer) — a powerful experimentation and personalization platform used by thousands of brands worldwide.
In 2026, Wingify merged with AB Tasty, creating one of the world’s largest independent experimentation and personalization platforms.
Today, the combined entity:
Generates $100M+ in Annual Recurring Revenue (ARR)
Serves 4,000+ customers globally
Has 800+ employees across North America, Europe, and APAC
Operates from 11 global offices
Is valued at approximately $400–500M
Job Summary
We are looking for a
Backend & Data-focused QA Engineer / SDET
to ensure the quality, reliability, and scalability of our data-driven systems. This role goes beyond traditional QA — you will work on validating complex
data pipelines, APIs, and distributed systems
, while building robust automation frameworks and driving end-to-end quality across backend services.
Your Responsibilities
Ensure high quality and reliability of our
data pipeline systems
with a strong focus on backend validation.
Analyze, validate, and debug complex data flows across services, APIs, and pipelines.
Identify, confirm, and document bugs with clear reproduction steps, especially in distributed systems.
Design and build
automation frameworks for backend, API, and data validation
Develop and maintain
API, integration, and data validation test suites
Own
performance and load testing
using tools like JMeter to validate system scalability
Work closely with Product, Engineering, and Data teams to understand pipeline logic and define test strategies
Own QA activities within the scrum team, including planning, execution, and reporting
Act as the first point of contact for debugging
customer data issues
, RCA, and resolution
Validate deployments across environments and ensure data correctness post-release
Drive best practices in
test automation, observability, and data validation
Contribute to internal tools that improve QA efficiency for backend and data systems
Requirements
3 to 6 years of experience in QA with a strong focus on
backend and API testing
Strong understanding of
distributed systems and data pipelines
Hands-on experience with
API testing and automation (Rest Assured or similar)
Solid experience in
performance and load testing (JMeter or equivalent)
Strong knowledge of
databases (SQL + NoSQL)
with the ability to validate large datasets
Good understanding of
message queues and streaming systems (Kafka or similar)
Experience with
data warehousing tools (BigQuery or similar)
Proficiency in
Java or JavaScript for automation
Hands-on experience in
debugging backend systems and identifying root causes
Familiarity with
CI/CD tools (Jenkins), Git, and containerization (Docker)
Experience in building or maintaining
QA infrastructure (e.g., Selenium Grid or similar)
Strong analytical skills to understand complex system interactions
Ability to work independently and own QA for backend-heavy systems
Good to Have
Experience with
cloud platforms (GCP / AWS)
Understanding of
caching mechanisms and system performance tuning
Exposure to
GenAI applications or AI-driven testing workflows
Experience with modern dev tools like
Cursor, Windsurf, or similar AI-assisted development tools
Contributions to
open source QA tools or frameworks
Location
: India (Fully Remote)
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