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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 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.

You will be the senior quality engineering owner for Arintra's productivity team. The role is not limited to writing tests; you will define how quality is built into AQM, Abacus, and Harmony. You will own test strategy, CI/CD quality gates, accuracy regression checks, SLO thinking, quality metrics, and the testing standards that engineering teams follow. You will also mentor the SDET -1s and partner closely with AI Agents and DevEx engineers.

The candidate will have responsibilities across the following functions:

Quality Strategy and Architecture:

  • Define and own the testing pyramid across unit, integration, component, E2E, contract, and accuracy regression layers.
  • Audit Abacus, Harmony, and AQM for testability gaps and create a prioritised remediation plan.
  • Set coverage and quality gates by repo/component risk tier and drive engineering alignment.
  • Define testable-by-design patterns such as dependency injection, interface boundaries, and shift-left test requirements.

CI/CD Quality and Accuracy Gates:

  • Own CI/CD quality gates, including static analysis, coverage enforcement, component/E2E checks, and accuracy regression checks.
  • Partner with DL/engineering teams to make model accuracy regression a first-class release gate.
  • Define fast vs full regression strategies and thresholds for PRs vs main branch releases.
  • Ensure quality gates are visible, stable, and trusted by engineering teams.

Metrics, SLOs and Reliability:

  • Build and own quality metrics: coverage, defect escape rate, accuracy per speciality, alert volume, code quality score, and reliability trends.
  • Define SLOs for AQM accuracy, Abacus processing reliability, and Harmony latency with clear error budgets and alert thresholds.
  • Lead defect retrospectives and ensure every escaped defect results in a test, monitor, or process improvement.
  • Partner on canary accuracy monitoring, incident-response quality bar, and SRE-AI feedback loops.

Leadership and Mentorship:

  • Mentor SDETs through structured reviews, code reviews, and development planning.
  • Influence engineers across squads without relying on reporting authority.
  • Champion that quality is built in, not tested in, across engineering.
  • Partner with AI Agents Engineer to evaluate and improve the Testing Agent.

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.
  • Agentic SDLC exposure within the last 12 months.

Nice to Have:

  • Healthcare, medical coding, or other regulated/high-accuracy domain experience.
  • Experience with Playwright/Selenium and large E2E suites.
  • Experience with SLOs, error budgets, chaos/fault injection, or reliability testing.
  • Experience integrating AI-assisted testing or code review workflows.
  • Experience building or owning quality dashboards in Looker, Metabase, Grafana, or similar.
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