Principal Software Engineer – Integration & Data Architecture

🕒 Agosto 11

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $150.000 - $214.000 / ano

⏰ Tempo Integral

🔴 Especialista

💻 Engenheiro de Soluções

👻 Score fantasma 0%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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GHX

1001 - 5000 funcionários

Fundada em 2010

💼 Consultoria

📦 Logística

🏥 Saúde

Consulting • Logistics • Healthcare

A GHX é uma fornecedora líder de soluções de gestão de dados, consultoria em cadeia de suprimentos e serviços de credenciamento de fornecedores, com foco principalmente no setor de saúde. A empresa oferece produtos inovadores, como automação de pedidos, gestão de estoques e soluções de pagamentos eletrônicos (e-payment), que ampliam a agilidade financeira, o compliance e a eficiência operacional. A GHX atende a uma base diversificada de clientes, incluindo prestadores de serviços de saúde, fornecedores e órgãos governamentais, enfatizando insights baseados em evidências e a transformação para ERP em nuvem (cloud ERP) para otimizar a alocação de recursos, reduzir custos e melhorar o cuidado ao paciente. A empresa é profundamente integrada à cadeia de suprimentos de saúde, colaborando com parceiros para criar ambientes seguros, informados e custo-efetivos em instituições de saúde.

Descrição

• Define GHX’s integration patterns, including outbox, saga, CDC, event-carried state transfer, dual-write mitigation, and choreography versus orchestration • Guide service boundary design, shared reference data handling, and prevention of shared-database coupling • Own messaging and eventing architecture, including topic and queue design, schema contracts, partitioning, retention, consumer groups, dead-letter handling, replay, and monitoring • Lead replacement of GHX’s homegrown event bus with a cloud-native messaging platform • Guide streaming versus batch trade-offs and event-driven pipeline migrations • Establish REST API design standards and own API governance • Define API transition patterns including versioned routing, canary rollouts, and gateway configuration • Review service designs for evolvability and downstream interface cost • Guide schema design, data modeling, datastore selection, NoSQL access-pattern design, and data ownership • Advise on ORM versus raw queries, performant data access, schema evolution, replication, syndication, CDC, change streams, materialized views, and read models • Run design reviews, workshops, and office hours • Produce decision records, design guides, and reference implementations • Present architectural trade-offs and technical risk to engineering leadership, product, and senior stakeholders • Partner with application teams during GHX’s monolith decomposition into independently deployable services • Define long-term technical standards for system integration and data architecture

🎯 Requisitos

• 10+ years building distributed systems as a hands-on individual contributor, including writing and shipping production code • Deep experience with event-driven architecture and distributed systems • Experience with pub/sub and messaging infrastructure such as Kafka, AWS SQS/SNS/EventBridge, or equivalents • Experience with integration patterns including outbox, CDC, saga, and event sourcing • Knowledge of idempotency, consistency trade-offs, and operational failure handling • Hands-on AWS experience with SQS, SNS, EventBridge, DynamoDB, RDS/Aurora, API Gateway, and Lambda • Strong data architecture fundamentals across relational and NoSQL databases • Experience with datastore selection, schema and access-pattern design, ORM trade-offs, and performant data access at scale • Experience designing REST APIs with versioning, backward compatibility, data contracts, and CI/CD contract validation • Experience working directly with application teams during service decomposition • Track record of establishing integration and data standards across an engineering organization • Strong written and verbal communication across engineering, product, and senior stakeholder levels • Heavy personal investment in AI-assisted and agentic development, including substantial use of coding agents and concrete examples of improved speed or outcomes

🏖️ Benefícios

• Bonus • Health insurance • Vision insurance • Dental insurance • Accident insurance • Life insurance • 401k matching • Paid time off • Education reimbursement • Equal employment opportunities • Educational assistance

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