Establish BigHappy's first test automation practice from the ground up — building a framework-first, AI-augmented testing discipline that embeds quality into the development lifecycle rather than gatekeeping at the end, across our Go/Node.js/React/AWS stack.

NOTE:
Candidates must be open to work within USA time zones EST/EDT and PST/PDT hours.

Key Responsibilities
Design and build BigHappy's test automation framework and strategy from scratch — no existing QA tooling, process, or team to inherit; this person influences the foundational architecture decisions.
Automate testing across both layers of our stack: API/backend (Go) and frontend/UI (React, HTML/JS/CSS) — not siloed to one layer.
Integrate automated test suites into AWS CI/CD pipelines, so testing runs continuously, not as a pre-release gate.
Partner with engineers during design and development — not after code is written — to embed testability, push for contract testing where services integrate, and catch issues before they're built rather than after.




Evaluate and adopt AI-leveraged testing tools and techniques: AI-assisted test case generation, self-healing scripts, visual regression, and flaky-test triage — setting a up-to-date baseline rather than replicating legacy manual-first QA.
Perform manual/exploratory testing only where automation isn't yet practical (current feature edge cases, exploratory sessions ahead of automated coverage, usability spot-checks) — treated as a bridge, not the default mode of work.
Define coverage strategy and quality metrics (defect escape rate, automation coverage %, flaky test rate) and report on them to engineering leadership.
Act as the internal voice for quality and testability in engineering discussions — influencing how code gets written, not just how it gets tested.

Skills, Knowledge and Expertise

Must-Have Skills
7+ years in QA/test automation, with demonstrable majority-time-coding (not majority-manual-testing-with-scripting-on-the-side).

📌 Lead Qa Automation Engineer Panchkula
🏢 Big Happy
📍 Panchkula