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Staff Software Development Engineer in Test

Arintra

Bangalore, Karnataka, IndiaContract$10–20K/yrPosted 3w agoVerified open 5 days ago

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At a glance

Compensation
$10–20K/yr
Location
Bangalore, Karnataka, India
Schedule
Contract
Work Authorization
Not specified

Job overview

The senior quality engineering owner will lead test strategy, CI/CD quality gates, accuracy regression checks, SLO thinking, quality metrics, and testing standards for Arintra's productivity team, mentoring SDET‑1s and collaborating with AI Agents and DevEx engineers.

Skills & qualifications

RequiredNice to have

Skills

Test StrategyBigQueryBudgetingDrug InjectionLookerSpringRoll-UpsStatic Timing AnalysisSQLDistributed SystemsMachine LearningAutomationSDLCArtificial IntelligenceGrafanaYAMLJavaContinuous IntegrationTestNGSeleniumQuality AssuranceReliability EngineeringDockerJUnitPyTestCI/CDSoftware TestingCI YAMLSonarQubeMypyPylintCheckstyleSpotBugsMetabasePlaywrightSLOsError BudgetsChaos/Fault InjectionReliability TestingAI‑Assisted Testing

Qualifications

7+ Years SDET/QA Engineering Experience2+ Years Staff/Principal/Lead Level ExperienceAgentic SDLC Exposure Within Last 12 Months

Full job description

You will be the senior quality engineering owner for Arintra's productivity team. 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.
  • 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.
  • 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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