Sr Data Ops Engineer (Flink, Kafka, AWS, Docker, Kubernetes, Terraform)

Contract positions for US Federal Government project involving modifying cloud-native applications and services to run in a dedicated environment

MUST HAVES

• 6+ yrs platform data development exp. w/RDS (PostgreSQL), Debezium. Redis, Kafka, Flink, Databricks
• Extensive exp. w/AWS data services, including RDS Aurora, ElastiCache, Managed OpenSearch, S3, MSK
• Working knowledge of Docker, Kubernetes, and EKS.
• Proficient with Terraform and one or more programming languages such as Python, Golang, or Ruby.
• Must be able to submit documentation establishing U.S. Person status (no exceptions)

Responsibilities:

What you’ll do:

• Collaborate closely with internal teams and external stakeholders to define, build, and document the cloud data resources needed to run our SaaS platform in an AWS Govcloud region.
• Continually ensure our processes and results comply with the FedRAMP Moderate level of controls.
• Use infrastructure-as-code pipelines to deploy and configure business-critical cloud databases, data lake, and data streaming.
• Deploy and configure Debezium change data capture, Flink, and Kafka in a highly secure environment.
• Engineer resilient systems that support 24x365 uptime at a 99.95% availability level.
• Build and test disaster recovery mechanisms for systems and data.