Cloud Engineer

Duties And Responsibilities

• Design and implement AWS cloud-native microservices supporting RPC-based appointment, scheduling, and workflow capabilities.
• Develop and maintain Kafka/MSK event producers and consumers that support reliable, event-driven data flows.
• Implement event-routing patterns, including topic segmentation, schema versioning, replay strategies, retry logic, and dead-letter handling.
• Build and integrate secure WebSocket-based streaming services that provide real-time user interface updates without page refresh.
• Develop APIs and integration components that support interoperability with external healthcare and VA enterprise systems.
• Contribute to CI/CD pipelines and infrastructure automation using Jenkins, Bitbucket, Terraform, Packer, or comparable tools.
• Deploy, configure, and support containerized applications using Docker and Kubernetes in AWS environments.
• Implement and maintain logging, monitoring, alerting, and dashboard capabilities using Prometheus, Grafana, Elasticsearch, Kibana, and AWS-native services.
• Apply secure engineering practices, including IAM, secrets management, encryption, least-privilege access, and Zero Trust principles.
• Troubleshoot application, integration, and platform issues and support performance tuning, resiliency testing, and incident resolution.
• Produce technical documentation, configuration guidance, and operational runbooks for developed services.
• Participate in Agile ceremonies, design reviews, code reviews, sprint planning, and cross-functional technical discussions.

Knowledge And Skills Required

• 2–4 years of experience in cloud engineering, software development, platform engineering, or a related technical role.
• Practical knowledge of AWS fundamentals and cloud-native application development in secure enterprise environments.
• Experience developing APIs, microservices, or distributed applications using one or more modern programming languages.
• Exposure to Kafka, AWS MSK, or another enterprise messaging platform and a working understanding of event-driven architecture.
• Understanding of producer/consumer patterns, event schemas, retry processing, replay, and resilient integration design.
• Familiarity with Docker, Git-based workflows, automated testing, and CI/CD delivery practices.
• Foundational knowledge of Kubernetes and Infrastructure as Code tools such as Terraform, or the demonstrated ability to learn them quickly.
• Familiarity with application logging, monitoring, troubleshooting, and performance analysis in distributed environments.
• Understanding of cloud security concepts, including IAM, secrets management, encryption, and least privilege.
• Strong analytical, documentation, and collaboration skills with the ability to work effectively across engineering, product, and operations teams.

Knowledge And Skills Desired

• Experience supporting the Department of Veterans Affairs, another Federal agency, or a regulated enterprise environment.
• Experience with Appian or integration between cloud-native services and low-code workflow platforms.
• Experience with observability tools such as Prometheus, Grafana, Elasticsearch, Kibana, CloudWatch, or similar technologies.
• Understanding of healthcare interoperability, appointment scheduling, or other mission-critical workflow systems.

Education

• Bachelor’s degree in Computer Science, Information Technology, Information Systems, Engineering, or a related discipline, or equivalent practical experience.

Clearance

• Must be able to obtain and maintain a Public Trust clearance.