QA Automation Engineer

Allata is a global consulting and technology services firm founded in 2016, with 350+ employees across the US, India, and Argentina. We partner with some of the world's largest enterprises to move AI from idea to production — building intelligent agents, data foundations, and governance frameworks that scale.

Our teams work at the intersection of strategy, engineering, data, and design, helping clients modernize their technology, unlock data value, and create meaningful digital experiences. At Allata, you'll join an agile, cross-functional team that works closely alongside clients — making a real impact and building lasting partnerships.

Allata is looking for a QA Automation Engineer to join a client product team and play a key role in ensuring the quality and reliability of a growing technology platform.

This is an opportunity for a QA professional who enjoys working across the full testing lifecycle, combining automation expertise with strong exploratory testing and a product-oriented mindset. You’ll collaborate closely with engineering and product teams in a fast-paced environment where quality is a shared responsibility and continuous improvement is highly valued.

The ideal candidate is curious, hands-on, and comfortable leveraging modern tools—including AI—to work more efficiently while applying sound QA judgment to validate results and make informed decisions.

Allata is looking for a QA Automation Engineer to join a client product team and play a key role in ensuring the quality and reliability of a growing technology platform.

This is an opportunity for a QA professional who enjoys working across the full testing lifecycle, combining automation expertise with strong exploratory testing and a product-oriented mindset. You’ll collaborate closely with engineering and product teams in a fast-paced environment where quality is a shared responsibility and continuous improvement is highly valued.

The ideal candidate is curious, hands-on, and comfortable leveraging modern tools—including AI—to work more efficiently while applying sound QA judgment to validate results and make informed decisions.