We are seeking a highly experienced Java Cloud Architect to lead the design and deployment of cloud-native and edge-enabled solutions for In-Flight Entertainment and Connectivity (IFEC) systems. This role combines expertise in Java, cloud orchestration, CI/CD, containerization, and edge computing, with a strong understanding of embedded software, avionics standards, and real-time system constraints.
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Key Responsibilities:
Architect scalable, secure, and resilient cloud and edge platforms for IFEC systems.
Design microservices-based applications using Java, Spring Boot, and RESTful APIs tailored for embedded avionics environments.
Lead CI/CD pipeline development for embedded software deployment across aircraft fleets.
Implement Docker containers and orchestrate deployments using Kubernetes, optimized for edge and airborne systems.
Develop and deploy edge computing solutions for real-time data processing and content delivery onboard aircraft.
Collaborate with avionics engineers to ensure compliance with RTCA DO-178C, ARINC standards, and other aviation regulations.
Integrate cloud platforms (AWS, Azure, GCP) with aircraft ground systems and maintenance operations.
Ensure high availability, fault tolerance, and real-time performance of cloud services supporting IFEC.
Provide architectural guidance for secure data transmission, content streaming, and passenger connectivity.
AI/ML Integration:
ML model deployment in cloud/edge environments
Frameworks: TensorFlow, PyTorch, Scikit-learn
Use cases: predictive maintenance, personalization, anomaly detection
Data Engineering:
ETL pipelines, real-time analytics
Tools: Apache Kafka, Spark, Airflow
Data lakes and warehousing
Monitoring & Observability:
Prometheus, Grafana, ELK stack, OpenTelemetry
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Preferred Qualifications:
Experience with IFEC systems from providers like Panasonic Avionics, Thales, or Viasat.
Exposure to hybrid cloud-edge architectures in aerospace.
Certifications in cloud architecture or aviation software safety.
Job Requirement
* Cloud Platforms (AWS, Azure, GCP)
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