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Defense Unicorns

Secure DevSecOps platform for defense

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of experience building and maintaining production data pipelines, databases, and data exchange services on Kubernetes.
  • Experience designing, deploying, and operating Kafka or Redpanda data streaming solutions on Kubernetes.
  • Experience creating data pipelines from scratch, processing large data volumes, and managing data stores.
  • Experience with containerization technologies such as Docker and container orchestration systems such as Kubernetes.
  • Knowledge of systems engineering principles for reliability, scalability, and maintainability of data layer systems.
  • Familiarity with API security, container security, and AWS cloud security.
  • Familiarity with cybersecurity principles and best practices for securing data layer systems.
  • Must be a U.S. citizen.
  • Must be able to obtain and maintain a Secret-level Department of Defense security clearance.

Responsibilities

  • Design data workflows, pipelines, and pathways supporting ETL/ELT, ensuring data quality and exchange of sensitive information across AWS cloud and on-premises environments.
  • Apply systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies.
  • Architect, deploy, and operate data streaming technologies such as Kafka, Redpanda, and Kinesis on Kubernetes, emphasizing declarative definitions to reduce day-2 operational complexity.
  • Work with a platform team to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environments.
  • Work with a platform team to automate infrastructure provisioning, monitoring, and scaling using tools such as Terraform, and work with cybersecurity subject matter experts to defend the data layer against potential threats.
  • Ensure data layer systems comply with industry and Department of Defense regulations, standards, and best practices.
  • Stay current with industry trends and emerging technologies related to Kubernetes, containerization, and data engineering.
  • Travel 6–10 times per year.

Desired Qualifications

  • Experience with machine learning and generative AI models.

About the Company

Defense Unicorns

Secure DevSecOps platform for defense

Defense Unicorns provides secure, open-source DevSecOps solutions and related services for defense and federal customers. Its platform is designed to be infrastructure-agnostic, integrating development, security, and operations to deliver software quickly while meeting strict federal security and accreditation standards. The company differentiates itself by focusing on mission-driven government and defense programs, leveraging open-source tooling, and offering training and consulting to help organizations upskill, transform digitally, and navigate DoD SBIR/STTR programs. The goal is to help government agencies and defense contractors deliver secure software at speed, acquire and integrate software solutions efficiently, and achieve compliance in complex procurement environments.

Company size
201-500
Company stage
Series B
Total funding
$172.3M
Headquarters
Colorado Springs, CO
Founded
2021

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