Associate Cloud Engineer

i4DM•Millersville, MD

About The Position

We are seeking a motivated Associate Cloud Engineer to support the development of a cloud-native, event-driven platform built on AWS. This role will focus on implementing microservices, integrating with Kafka/MSK event streams, and enabling real-time data delivery through WebSocket-based user interfaces while working within an experienced engineering team.

Requirements

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.

Nice To Haves

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.

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.