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    Job · 12755587

    BENGALURU · FULLTIME

    Backend Engineer

    RapidClaims.ai logo

    RapidClaims.ai

    Bengaluru · onsite · Posted 62d ago

    Sourced fromInstahyre
    Not disclosed5–8 yrsfulltimeBengaluru

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    Section · 01

    About this role

    We are looking for a Software Development Engineer - Backend to build and scale reliable backend systems that power our healthcare platform. You will work on high-impact product features, design robust APIs and distributed services, and contribute to building systems that are scalable, highly available, secure, and performant. This is a hands-on engineering role for someone who enjoys solving complex backend problems and working in a fast-paced, product-driven environment.


    Responsibilities:

    • Design, develop, and maintain scalable and reliable backend services for our healthcare applications and platforms.
    • Build and maintain high-performance APIs that integrate seamlessly with internal and external systems.
    • Design and implement distributed systems and microservices with a focus on scalability, availability, fault tolerance, and reliability.
    • Work with SQL and NoSQL databases to design efficient data models and optimize application performance.
    • Build and maintain event-driven systems using message brokers such as Kafka.
    • Write clean, maintainable, well-tested, and production-ready code.
    • Identify and resolve performance, scalability, and reliability challenges.
    • Participate actively in architecture discussions, code reviews, and technical design decisions.
    • Collaborate closely with product, engineering, AI/ML, and other cross-functional teams.
    • Evaluate and adopt appropriate technologies and engineering practices to improve system performance and maintainability.
    • Contribute to building secure and reliable systems for US healthcare workflows and data.


    Requirements:

    • Bachelor's or master's degree in computer science, software engineering, or a related field.
    • 3+ years of professional backend software development experience.
    • Strong programming experience in one or more of Python, Go, or Node.js .
    • Strong understanding of REST APIs and API design principles.
    • Hands-on experience with microservices and distributed systems.
    • Experience working with SQL and NoSQL databases.
    • Experience with message brokers/event-driven systems, preferably Kafka.
    • Experience working with at least one major cloud platform such as AWS, Azure, or GCP.
    • Hands-on experience with Docker and containerized applications.
    • Strong understanding of software engineering fundamentals, clean code, testing, and debugging.
    • Strong problem-solving and analytical skills.
    • Good communication and collaboration skills.


    Good to Have:

    • Experience building systems for the US healthcare industry.
    • Familiarity with healthcare standards such as HL7 FHIR and HIPAA.
    • Experience integrating with EHR/EMR systems.
    • Familiarity with healthcare APIs and interoperability platforms.
    • Understanding of healthcare workflows, clinical data, or revenue cycle management.
    • Experience working with high-volume, low-latency backend systems.
    • Experience with observability, monitoring, logging, and production troubleshooting.

    Sourced from instahyre

    Section · 02

    Skills

    PythonMicroservicesGolangBackendNode.JsREST APIAPI

    Section · Company

    About RapidClaims.ai

    RapidClaims.ai logo

    RapidClaims.ai

    New York

    US

    About

    RapidClaims offers an AI powered coding and billing platform that helps healthcare professionals to automate their revenue cycles. RapidClaims delivers a platform that combines artificial intelligence with healthcare revenue cycle workflows to streamline billing operations. It automates tasks such as medical coding, claim scrubbing, and clinical documentation improvement through modules like RapidCode™, RapidScrub™, and RapidCDI™. The system applies configurable payer rules and AI assistants to structure and validate claims before submission, helping reduce errors and support compliance. It integrates with existing health record systems, allowing client teams to retain oversight while routine tasks are handled with AI guidance. R

    Industries

    Artificial Intelligence (AI)Business IntelligenceHealth CareHospitalmHealth

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