Principal Software Engineer – Integration & Data Architecture

🕒 vor 9 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $150.000 - $214.000 / Jahr

⏰ Vollzeit

🔴 Experte

💻 Lösungsingenieur

👻 Geisterscore 0%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of GHX

GHX

1001 - 5000 Mitarbeiter

Gegründet 2010

💼 Beratung

📦 Logistik

🏥 Gesundheitswesen

Consulting • Logistics • Healthcare

GHX ist ein führender Anbieter von Datenmanagementlösungen, Beratung im Bereich Lieferketten und Dienstleistungen zur Anbieterakkreditierung, hauptsächlich für die Gesundheitsbranche. Sie bieten innovative Produkte wie Bestellautomatisierung, Bestandsverwaltung und E-Payment-Lösungen, die die finanzielle Flexibilität, Compliance und betriebliche Effizienz verbessern. GHX bedient eine vielfältige Kundschaft, darunter Gesundheitsdienstleister, Lieferanten und Regierungsbehörden, und legt den Fokus auf evidenzbasierte Erkenntnisse und die Transformation von Cloud-ERP, um die Ressourcenzuweisung zu optimieren, Kosten zu senken und die Patientenversorgung zu verbessern. Sie sind tief in die Lieferkette des Gesundheitswesens integriert und arbeiten mit Partnern zusammen, um sichere, informierte und kosteneffiziente Umgebungen in Gesundheitseinrichtungen zu schaffen.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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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