Staff SDET

Arintra • Java • SQL • 1 month ago

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Salary

≈ $32k – $69k per year (Estimated)

Location

In office (Bengaluru)

Seniority

Staff · 7+ years exp

Employment

Contractor

Overview

Company

Impact

Profile match

Arintra

Arintra is a healthcare technology company based in Austin, Texas, and founded in 2019. The company provides an AI-driven autonomous medical coding and revenue assurance platform that integrates with electronic health record systems to automate insurance claim submissions. It operates across more than 23 medical specialties and multiple care settings, serving large health systems and provider groups throughout the United States.

arintra.com • HQ: Austin, United States • Billing & Invoicing • Natural Language Processing • Business Process Automation (BPA) • Software • Artificial Intelligence • Medical AI • Health Care • Digital Health • Est. 2019

Requirements:

7+ years of SDET/QA engineering experience, including at least 2 years at staff/principal/lead level or equivalent scope.
Strong hands-on automation depth across at least two test frameworks, including pytest and/or Java-based frameworks such as JUnit/TestNG.
Strong Java and Spring understanding; able to read application code, identify testability issues, and review test design meaningfully.
Hands-on CI/CD quality pipeline ownership; has written CI YAML, configured required checks, and debugged pipeline/test infrastructure issues.
Experience with static analysis and quality tools such as SonarQube, mypy, pylint, Checkstyle, SpotBugs, or equivalent.
Experience with contract/component testing for distributed services.
Experience with Docker and containerised test environments.
Experience defining test strategy from scratch for inherited systems and driving remediation using data.
Experience with ML/model regression or accuracy evaluation, or strong adjacent experience in data-heavy correctness testing.
Strong SQL and BigQuery ability for defect analysis, trend rollups, accuracy/reliability correlation, and dashboard validation.
Excellent leadership communication: can present quality health to engineering leadership with data and clear recommendations.

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