
501 - 1000 funcionários
Fundada em 2017
⚕️ Seguro de Saúde
💳 Fintech
🤖 Inteligência Artificial
Healthcare Insurance • Fintech • Artificial Intelligence
Capital Rx é a healthtech que mais cresce nos Estados Unidos, dedicada a transformar os modelos de precificação de medicamentos e de cuidado ao paciente. Fundada em 2017, oferece serviços inovadores de gestão de benefícios farmacêuticos (PBM), incluindo benefícios de farmácia personalizáveis para grandes empregadores e uma plataforma de navegação de cuidados com IA. A Capital Rx foca em entregar soluções custo-efetivas e eficiências operacionais aos clientes, garantindo transparência e cuidado de qualidade para os pacientes.
🕒 Fevereiro 6
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

501 - 1000 funcionários
Fundada em 2017
⚕️ Seguro de Saúde
💳 Fintech
🤖 Inteligência Artificial
Healthcare Insurance • Fintech • Artificial Intelligence
Capital Rx é a healthtech que mais cresce nos Estados Unidos, dedicada a transformar os modelos de precificação de medicamentos e de cuidado ao paciente. Fundada em 2017, oferece serviços inovadores de gestão de benefícios farmacêuticos (PBM), incluindo benefícios de farmácia personalizáveis para grandes empregadores e uma plataforma de navegação de cuidados com IA. A Capital Rx foca em entregar soluções custo-efetivas e eficiências operacionais aos clientes, garantindo transparência e cuidado de qualidade para os pacientes.
• Own streaming infrastructure: Design, implement, and expand WAL-based replication systems that process database changes through Kinesis to Snowflake and Redshift, handling millions of records while maintaining strict ordering and delivery guarantees. • Build CDC systems: Architect and implement change data capture infrastructure for cross-platform data synchronization, enabling realtime analytics and event-driven workflows across the organization. • Develop shared libraries: Create reusable Kinesis/SNS consumer patterns and libraries used across multiple teams, establishing best practices for event processing, error handling, and observability. • Partner with product teams: Work directly with teams to design and implement realtime data processing solutions tailored to their business needs, providing technical guidance and hands-on support. • Ensure data reliability: Implement exactly-once processing semantics, dead letter queues, retry strategies, and monitoring to guarantee data integrity across streaming pipelines. • Build observability: Develop monitoring, alerting, and dashboards for streaming pipelines to track throughput, lag, data quality issues, and system health using the LGTM stack. • Demonstrate technical leadership: Mentor engineers on streaming architecture patterns, lead design reviews for event-driven systems, and represent the Scalability team in cross-functional planning. • Make strong architectural choices through careful evaluation and prior experience with distributed systems. • Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance.
• 10+ years of software engineering experience with demonstrated progression into technical leadership roles. • 3+ years of experience leading technical initiatives, architecting distributed systems, or serving as a subject matter expert on streaming infrastructure. • Strong expertise in Python (Flask/SQLAlchemy) for production applications. • Deep PostgreSQL knowledge: Understanding of write-ahead logs, replication, logical decoding, and change data capture mechanisms. • Production streaming experience: Proven track record building and operating high-throughput streaming systems using Kinesis, Kafka, or similar event streaming platforms. • Distributed systems expertise: Strong understanding of ordering guarantees, exactly-once semantics, partition strategies, backpressure handling, and fault tolerance patterns. • AWS experience: Production experience with Kinesis, S3, SNS/SQS, Lambda, ECS, and data pipeline orchestration. • Data warehouse knowledge: Experience loading data into Redshift, Snowflake, or similar analytical databases. • Systems thinking: Ability to design resilient, observable streaming architectures that balance throughput, latency, and reliability. • Collaboration and communication: Strong written and verbal communication skills with ability to work autonomously while driving proactive collaboration in a remote environment.
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
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