Note: The job is a remote job and is open to candidates in USA. i4DM is a company that provides Federal agencies with access to skilled professionals to address complex mission challenges. They are seeking a motivated Associate Cloud Engineer to support the development of a cloud-native platform on AWS, focusing on microservices implementation and real-time data delivery.

Responsibilities

• Design and implement cloud-native microservices supporting RPC-based appointment and scheduling workflows
• Develop and maintain Kafka/MSK event producers and consumers to support event-driven data flows
• Implement and manage event routing patterns including topic segmentation, schema versioning, and replay strategies
• Build and integrate real-time WebSocket-based streaming solutions enabling live UI updates without refresh
• Implement dead-letter queue handling, retry strategies, and resiliency patterns for event processing
• Collaborate with cross-functional teams to support interoperability with external healthcare and VA systems
• Contribute to CI/CD pipelines and infrastructure automation using Terraform, Jenkins, and Packer
• Deploy and manage containerized applications using Kubernetes and Docker
• Implement observability solutions using Prometheus, Grafana, Elasticsearch, and Kibana
• Ensure secure system design leveraging Vault, IAM, and Zero Trust principles
• Support Agile delivery and participate in design reviews, sprint planning, and technical discussions

Skills

• 2–5 years of experience in cloud engineering, software development, or related roles
• Experience with AWS fundamentals and cloud-native application development
• Exposure to event-driven architectures or messaging systems (Kafka preferred)
• Experience working with APIs, microservices, or distributed systems
• Familiarity with containerization (Docker) and CI/CD processes
• Willingness to learn Kubernetes, Terraform, and event streaming technologies
• Eligible to obtain and maintain a Public Trust clearance
• Experience supporting VA or other Federal environments and familiarity with enterprise compliance standards
• Experience with Appian or integration with low-code platforms
• Experience with observability and monitoring tools (Prometheus, Grafana, ELK stack)
• Understanding of healthcare interoperability or scheduling systems is a plus

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