We are seeking a Senior Data Infrastructure Engineer to spearhead the modernization of the unclassified OSINT data layer, expanding an enterprise data lake into a community-wide data hub. You will architect scalable ingestion, storage, and data-sharing solutions on AWS, driving new access patterns, performance optimizations, and AI-powered data enrichments. If you're ready to solve large-scale data challenges and elevate OSINT capabilities through cutting-edge infrastructure, this is the perfect opportunity for you.
You may thrive in this role if you have:
A strong software engineering foundation with 4+ years of Java and Spring Framework experience, emphasizing robust testing practices and clean architecture.
Hands-on experience with AWS cloud services, including S3, DynamoDB, EKS/Kubernetes, DocumentDB, Lambda, Timestream, and CloudWatch.
Experience operating production systems at terabyte-to-petabyte scale, optimizing data propagation, versioning, and distributed access.
A passion for system observability, with expertise in monitoring and alerting mechanisms for data pipelines (Prometheus, Grafana, Splunk).
Proficiency with Infrastructure as Code (Terraform, CloudFormation, AWS CDK), ensuring scalable and repeatable deployments.
Strong problem-solving skills in tackling complex architectural challenges and influencing technical decisions across multiple teams.
A self-starter mindset, demonstrating leadership in delivering high-impact solutions and aligning engineering efforts with mission objectives.
You may excel in this role if you have:
An active Secret clearance, with the ability to upgrade to TS/SCI with Polygraph.
Familiarity with intelligence workflows, data discovery, and unclassified OSINT operations.
Experience leading cross-functional technical initiatives and driving best practices across engineering teams.
Effective communication and collaboration skills to engage with stakeholders at various levels.