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    Job · 16737359

    BENGALURU · FULLTIME

    Engineering Manager - Agentic SDLC

    Arintra logo

    Arintra

    Bengaluru · onsite · Posted 77d ago

    Sourced fromInstahyre
    Not disclosed9–13 yrsfulltimeBengaluru

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Requirements:

    • 9+ years in software engineering with 3+ years managing engineers directly, including hiring and performance management.
    • Strong technical grounding in Java, Spring Boot, and microservices, enough to review a design doc critically, push back on an architecture, and read a PR.
    • You will not be writing most of the code, but you cannot be a spectator.
    • Hands-on experience leading a team through agentic SDLC adoption in the last 12 months with tools such as Claude Code, Cursor, Codex, Devin, Copilot agent mode, or equivalent, applied across at least three of: design, implementation, review, testing, and production debugging.
    • Demonstrated ability to change process, not just tooling: concrete examples of estimation, review, or QA practices you rewrote because agentic workflows made the old ones wrong.
    • A clear point of view on the failure modes: review fatigue, plausible-but-wrong tests, context loss on large codebases, skill atrophy in junior engineers, and inflated velocity that hides quality debt.
    • Plus what you did about each.
    • Track record of delivering in production with real accountability for reliability and on-call.
    • Strong stakeholder management across product, domain experts, and leadership.


    Nice to have:

    • Scaled a team's output measurably (with the metrics to back it) after agentic adoption.
    • Built or sponsored internal agent tooling: custom agents, MCP integrations to Jira/BigQuery/observability, repo-level instruction files.
    • Experience rethinking career ladders or interview loops for an agent-assisted engineering org.
    • Good to have: LLM evaluation, regression harnesses, or accuracy pipelines.
    • Observability practice ownership (New Relic, Datadog, Prometheus/Grafana) and agent-assisted incident triage.
    • Nice to have: Healthcare, FHIR/HL7 or medical coding domain exposure.
    • Great to have: GCP or AWS; PostgreSQL, Elasticsearch, Neo4j.
    • 9+ years of experience with at least 3 years of people management experience.


    Led Agentic SDLC adoption:

    • Process Transformation (not building MCP or an agent, but how someone changed engineering - PR reviews changed, testing changed, onboarding changed, design docs changed, code reviews changed).
    • Hands-on with PR reviews and Systems Design and architecture in Java, Spring (Boot, MVC, Core).

    Sourced from instahyre

    Section · 02

    Skills

    Spring BootJavaMicroservicesAgentic SDLC

    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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