Senior Integration Engineer, Client-Facing

🕒 Maio 26

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SmarterDx

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2020

💰 Private Equity Round - SmarterDx em 2025-04

A SmarterDx desenvolve IA clínica que capacita hospitais a analisar o registro completo de cada paciente para capturar totalmente o valor do atendimento prestado. Fundada por médicos em 2020, sua plataforma de IA proprietária compreende as nuances do raciocínio clínico, permitindo que os hospitais ajustem o registro do paciente para cada alta. Ao fazer isso, os hospitais podem recuperar milhões em receitas obtidas, melhorar os indicadores de qualidade do atendimento e otimizar as operações de saúde.

Descrição

• Lead the integration design, development, and validation of robust, scalable interfaces between SmarterDx and hospital/health system customer EHRs (Epic, Cerner, Meditech). • Serve as the technical expert on customer engagements, guiding architecture discussions with CIOs, Directors of IT, interface and network teams, CDI and Coding leaders, and implementation sponsors. • Own integrations end to end, including specification development, mapping, configuration, testing strategy, go live planning, and production stabilization. • Lead data validation and reconciliation to ensure integrity, completeness, and interoperability compliance. • Design for reliability and observability with monitoring, alerting, traceability, replay strategies, and operational runbooks. • Troubleshoot complex production issues and lead structured incident response, root cause analysis, and durable remediation. • Improve integration operations through automation: streamline repetitive implementation tasks (test harnesses, validation tooling, automated checks, deployment patterns) to increase throughput and reduce risk. • Monitor evolving interoperability standards and translate them into actionable architectural guidance for SmarterDx and our clients. • Influence product and platform strategy by advising engineering on schemas, data contracts, mapping approaches, and integration tooling based on field experience. • Blend executive presence with operational humility. You can lead a CIO-level strategy session in the morning and personally debug a malformed HL7 segment in the afternoon. No engagement is beneath you, and no client environment is too complex. You own outcomes end to end. • Support and troubleshoot high-priority production issues as part of an after-hours Tier 3 rotation.

🎯 Requisitos

• 7-12+ years building, deploying, and supporting hospital based HL7v2 interfaces at scale, with expert-level understanding of EHR-specific message structure, triggers, acknowledgements, error handling and downstream impacts. • Advanced interface engine architecture and operations experience, including best practices for modular design, maintainability, performance, and supportability • Exceptional executive communication skills, able to influence senior health system leaders and confidently represent the company in customer forums, advisory councils, and conferences. • Proven expertise in scalable database extraction architecture, including performance tuning, indexing strategy, and downstream data validation, with the ability to both guide client teams and execute directly within vendor-approved frameworks for top-market EHR systems. • Significant experience enabling FHIR R4 APIs/resources and SMART on FHIR workflows. • Exceptional skill leading critical meetings that align technical and non-technical stakeholders during complex inpatient hospital and health system implementations, including the ability to explain integration tradeoffs, risks, and decisions in clear business terms. • Demonstrated ability to define plans that succeed; timelines, critical path, risks, mitigations, and measurable success criteria. • Adept at translating HL7v2 message flows, FHIR API interactions, and data mapping logic into business-impact language and creating supporting documentation to build trust and secure stakeholder alignment • Hands-on experience in languages like JavaScript or Python for message transformation or workflow automation. • SQL fluency for validation, reconciliation, and troubleshooting across complex datasets. • Familiarity with data transfer security best practices and standards such as TLS, HTTPS, and VPN configuration • Autonomy and the confidence to drive process improvements throughout times of ambiguity and changing priorities • Executive-level credibility paired with hands-on ownership: experience advising health system leadership while remaining deeply engaged in day-to-day technical execution, including production support and issue resolution.