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Senior Engineer, API Integrations bei Signature Aviation USA, LLC

Signature Aviation USA, LLC · Orlando, Vereinigte Staaten Von Amerika · Hybrid

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At Signature Aviation, we are modernizing aviation operations through technology and seamless integrations. We are seeking a Senior Engineer – API Integrations to design, build, and maintain secure and scalable API and integration solutions across ERP, CRM, OMS, POS, reservations, and third-party platforms. In this role, you will be responsible for developing cloud-native integrations and APIs that connect mission-critical systems across our aviation ecosystem. You will collaborate with architects, product owners, and business teams to deliver reliable, high-performing solutions on Azure.

Responsibilities

  • Design and Develop Integrations: Build enterprise-grade API and integration solutions using Azure services (Azure Functions, Logic Apps, API Management, Service Bus, Event Grid).
  • Develop APIs: Design, implement, and maintain RESTful APIs using C# (.NET/.NET Core), JSON, and API-first principles.
  • Cloud-Native Engineering: Utilize Azure Application Insights, Key Vault, and Storage Accounts to deliver secure, efficient integrations.
  • Implement CI/CD Pipelines: Develop and maintain CI/CD pipelines to enable automated deployments and faster delivery in a DevOps environment.
  • Collaborate with Teams: Work closely with architects, developers, and product teams to translate requirements into integration solutions.
  • Monitor and Troubleshoot: Maintain integration observability and proactively resolve performance or reliability issues.
  • Continuous Improvement: Contribute to modernization efforts by refactoring legacy integrations into API-first and event-driven architectures.
  • Support innovation initiatives, including deploying AI-powered decision support, task automation, and predictive operational insights at the base.

Qualifications

Minimum Education and/or Experience:

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 5+ years of middleware/integration engineering, with at least 2 full lifecycle Azure project implementations.

 

Additional knowledge and skills:

  • Programming Expertise: Strong proficiency in C#/.NET Core, RESTful API development, and event-driven integration patterns.
  • Azure Proficiency: Hands-on experience with Azure Functions, Logic Apps, Service Bus, API Management, Event Grid, Key Vault, and Application Insights.
  • CI/CD: Experience with DevOps tools and building automated deployment pipelines.
  • Problem-Solving: Ability to troubleshoot complex integrations and deliver secure, scalable solutions.
  • Team Collaboration: Proven ability to work effectively with cross-functional and distributed teams.
  • Microsoft certifications (Azure Developer, Azure Administrator, or equivalent).

  • Experience with iPaaS platforms (MuleSoft, Boomi, or Azure Integration Services).

  • Knowledge of hybrid cloud and on-premise integration challenges.

  • Familiarity with aviation, logistics, or operations technology is a plus.

  • Experience enabling AI/analytics-driven integrations for real-time insights and automation.

  • Knowledge of aviation operations, ground handling, or FBO workflows is a plus.

  • Background in deploying AI-powered or predictive systems into frontline environments.

 

Tech Stack & Skill Requirements:

  • Architecture: Microservices, event-driven design, domain-driven design (DDD).
  • Cloud Platforms: Azure (preferred) or AWS, with focus on hybrid/on-premise integrations.
  • Messaging Systems: Azure Service Bus, Kafka, Pub/Sub, Twilio integration for notifications.
  • POS and Payment Systems: Payment gateways, mobile POS solutions, EMV compliance.
  • OMS and CRM Integrations: OMS platforms, MSFT Dynamics 
  • APIs: REST, GraphQL, API-first development, API Management (Azure APIM).
  • Security: OAuth 2.0, SSO, PCI-DSS compliance for payment data.
  • Observability: Dynatrace, Splunk, Azure Monitor, Prometheus.
  • AI Enablement: Architecting systems to integrate with AI/ML models and decision engines
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