Java Cloud Architect

Job Title: Java Cloud Architect Embedded Systems & Avionics (IFEC)

Location: Chennai / Bangalore

Job Type: Full-time

Job Summary:

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.

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.

Primary Skills:

• Java, Spring Boot, Microservices Architecture
• Docker, Kubernetes, Helm
• CI/CD tools (Jenkins, GitLab CI, ArgoCD)
• Cloud Platforms (AWS, Azure, GCP)
• Edge Computing (real-time processing, low-latency systems, edge orchestration)
• Embedded Systems & RTOS
• Aviation Standards (RTCA DO-178C, DO-254, ARINC)

Secondary Skills (Desirable):

• 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

Preferred Qualifications

• Experience with IFEC systems from IFE providers
• Exposure to hybrid cloud-edge architectures in aerospace.
• Certifications in cloud architecture or aviation software safety.