Senior Systems Engineer, Cloud Data Pipeline (Remote)

GovCIO; Dover (DE); Remote; USD 120,000 - 145,000; Full time

Benefits offered by this job

EAP

Corporate Discounts

Learning & Development platform

Training, Certification Assistance

Referral Bonus Program

Internal Mobility Program

Pet Insurance

Flexible Work Environment

Job summary

GovCIO is hiring a Senior Systems Engineer to support the Cloud Data Pipeline (CDP) for the U.S. Coast Guard. This 100% remote role focuses on implementing, maintaining, and sustaining CDP within designated USCG cloud environments, leveraging Confluent and Kafka for enterprise data streaming.

The candidate will drive planning and execution, ensure secure data integration, and uphold engineering and security standards across lifecycle phases from implementation to long-term modernization.

Qualifications

• Active DoD 8570 IAT Level II certification in good standing.
• Proficiency in Java, .NET, or Python programming.
• Strong Linux system administration background.
• Experience with Confluent Platform and Apache Kafka for enterprise data streaming.
• Ability to obtain RBAC administrative access via USCG PUMP process.
• Strong understanding of configuration management and system architecture principles.

Responsibilities

• Lead deployment planning and execution of the CDP within USCG cloud environments.
• Ensure robust data ingestion and sharing between designated source/recipient systems and the CDP.
• Oversee maintenance, readiness, and lifecycle compliance for CDP in USCG environments.

Skills

DoD 8570 IAT Level II

Programming (Java/.NET/Python)

Linux

Secret clearance

Engineering standards

Education

High School with 9+ years (or commensurate experience)

Tools

Confluent Platform

Apache Kafka

Terraform

Ansible

Docker

Kubernetes

Job description

GovCIO is hiring a Senior Systems Engineer to support the Cloud Data Pipeline (CDP) for the U.S. Coast Guard. This 100% remote role focuses on implementing, maintaining, and sustaining CDP within designated USCG cloud environments, leveraging Confluent and Kafka for enterprise data streaming.

The candidate will drive planning and execution, ensure secure data integration, and uphold engineering and security standards across lifecycle phases from implementation to long-term modernization.