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    Job · 16740103

    BENGALURU · FULLTIME

    Staff Software Development Engineer in Test

    Arintra logo

    Arintra

    Bengaluru · onsite · Posted 82d ago

    Sourced fromInstahyre
    Not disclosed7–11 yrsfulltimeBengaluru

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    Section · 01

    About this role

    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.

    Sourced from instahyre

    Section · 02

    Skills

    JavaAgentic AiLarge Language Models (LLMs)Rest Assured

    Section · Company

    About Arintra

    Arintra logo

    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.

    Industries

    Artificial Intelligence (AI)Electronic Health Record (EHR)Health CarePaaSSoftware

    Employee ratings

    7 reviews

    1.7/ 5

    Culture

    2.0

    Career growth

    2.0

    Work-life

    1.6

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