Data Infrastructure Engineer

We're building a powerful data lake that fuels dozens of downstream systems and integrates directly with mission-critical command and control applications for the Sponsor. This is high-scale, high-impact engineering at the core of operational decision-making. If you're excited to shape the backbone of mission data flow, this is where your skills belong.

In this role, you will:

• Work closely with teammates and stakeholders in a Lean Agile environment to build mission-critical applications focused on data discovery and analysis
• Participate in code reviews, system design discussions, and continuous improvement initiatives
• Leverage modern build tools, testing frameworks, and CI/CD pipelines to ensure quality and delivery speed
• Design, implement, and test backend services and APIs using reactive programming concepts
• Integrate with cloud services and data platforms to expose high-value data through secure, performant interfaces
• Leverage DevSecOps pipelines, containers, and modern deployment tools to deliver software efficiently and reliably

You might thrive in this role if you:

• Active TS/SCI with Polygraph
• Experience developing backend services using Java and the Spring/Spring Boot framework (or similar relevant Java framework)
• Experience with search technologies such as Elasticsearch (preferred), OpenSearch, or Solr
• Experience with source control (e.g. Git) and CI/CD pipeline tools such as Jenkins (preferred) AWS CodeBuild, GitLab CI, or GitHub Actions
• Familiarity with API standards such as REST and HTTP, message-driven architectures, persistent storage layers, and distributed systems
• Experience with testing frameworks such as Junit (preferred), Mockito, or Spring Runner
• Effective written and verbal communication skills necessary to perform job duties and collaborate with team members

You will excel in this role if you have also these skills:

• Familiarity with monitoring and observability stacks such as Prometheus/Grafana (preferred), CloudWatch, or ELK/EFK
• Experience designing and implementing scalable, maintainable, and OOP based software in a containerized cloud environment (AWS preferred) leveraging foundational services for computing, identity management, and networking.
• Contributions to open-source libraries or community projects or personal projects
• Experience working with streaming or event-driven architectures such as SNS/SQS (preferred), AWS Step Function, Kafka, Kinesis, or Event Bridge
• Knowledge of Infrastructure as Code (e.g., Terraform) and how to leverage DevSecOps pipelines to deliver code
• Exposure to additional programming languages including shell scripting languages (e.g. Python, NodeJS, C#, Bash, PowerShell)