Staff SDET
Arintra · Bengaluru · onsite · Posted 77d ago
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About this role
We are looking for a Staff SDET to lead quality engineering across our AI-powered products. This is a hands-on technical leadership role where you'll define the quality strategy, build scalable automation frameworks, own CI/CD quality gates, and ensure production reliability. You will work closely with Engineering, AI, and DevEx teams to make quality an integral part of software development rather than an afterthought.
Responsibilities:
- Define and own the overall test strategy across unit, integration, component, contract, API, and end-to-end testing.
- Design scalable automation frameworks and improve test architecture.
- Build and maintain CI/CD quality gates with automated validation.
- Introduce model accuracy regression testing for AI-based systems.
- Drive shift-left testing practices and improve application testability.
- Define quality metrics, reliability dashboards, and engineering KPIs.
- Improve release confidence through automated regression testing.
- Partner with engineering teams to reduce production defects and improve reliability.
- Lead defect analysis and continuous quality improvements.
- Mentor SDETs and champion engineering best practices across teams.
Requirements:
- 7+ years of experience in QA automation / SDET roles.
- 2+ years in a staff, lead, principal, or equivalent technical leadership role.
- Strong programming experience in Java.
- Excellent understanding of Spring Framework.
- Hands-on experience with automation frameworks such as PyTest, JUnit, and TestNG.
- Strong experience with CI/CD pipelines (GitHub Actions, Jenkins, etc. ).
- Experience with Docker and containerized testing.
- Strong understanding of distributed systems testing and contract testing.
- Experience with static code analysis tools like SonarQube, SpotBugs, Checkstyle, mypy, pylint, or similar.
- Strong SQL skills for defect analysis and reporting.
- Ability to define a testing strategy from scratch for complex systems.
- Excellent stakeholder management and technical leadership skills.
Good to Have:
- Experience testing AI/ML systems or model accuracy validation.
- Healthcare or HealthTech domain experience.
- Experience with Playwright or Selenium.
- Experience with SRE concepts, SLOs, reliability engineering, or chaos testing.
- Exposure to AI-assisted testing tools and workflows.
- Experience with quality dashboards (Grafana, Looker, Metabase).
- Tech Stack: Java Spring Boot, Python PyTest, JUnit, TestNG, CI/CD Docker, SonarQube, SQL BigQuery, Contract Testing, Automation Testing, API Testing, Distributed Systems, AI/ML Testing.
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Skills
About Arintra

Arintra
11-50
employees
2020
6 years old
Austin
US
About
US hospitals and clinics are losing $125B every year due to delayed and inaccurate medical coding. Arintra is solving this problem by automating medical coding using AI and clinical NLP. Arintra converts a patient chart instantly into insurance claims with 96% accurate medical codes and zero human intervention.
Arintra solution is specifically tailored to cater to the varying requirements of ambulatory and outpatient specialties, emergency department services, and inpatient settings, ensuring comprehensive coverage across all healthcare domains.
Arintra’s software leverages proprietary artificial intelligence and natural language processing algorithms to process patient charts directly from the EHR to create a direct-to-billing claim. Arintra autonomously goes through every stage of the claim submission process and ensures a clean claim for optimal reimbursements without any human intervention. Arintra is integrated with all the top EHRs to ensure effortless implementation without any change in the workflow.
Arintra’s medical coding software offers two powerful modes for medical coding: autonomous coding mode and assisted coding mode. In autonomous coding mode, direct-to-billing claims are generated autonomously with high accuracy, streamlining the billing process for healthcare provider organizations. Whereas, assisted coding mode allows medical coders to meticulously review and optimize charges before submission, leading to increased efficiency and precision in the coding process. With Arintra, healthcare provider organizations can rely on precise direct-to-billing claims that include essential codes like E/M levels, CPT, ICD-10, HCC, HCPCS with appropriate modifiers and units.
Arintra’s coding solution provides extensive coverage and flexibility, catering to various coding domains such as professional coding, professional-fee coding, facility coding, and inpatient coding.
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Employee ratings
7 reviews
Culture
2.0
Career growth
2.0
Work-life
1.6
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