Job description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED We are seeking a creative, mission-focused Full-Stack Java Software Developer to join the team in support of the Data Transformation Solutions (DTS) effort. In this key role, you will architect, build, and deploy middle-tier to back-end data storage architectures, robust ETL (Extract, Transform, Load) pipelines, and microservices designed to process large, complex datasets. Working within a modern containerized ecosystem, you will craft secure full-stack solutions using Java, JavaScript, and Python—integrating corporate authentication services, optimizing local caching layers, and deploying applications across Docker and Kubernetes environments using automated Jenkins and Git workflows. The annual base salary range for this role is $150,000-$177,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. Full-Stack & Language Versatility: Core proficiency in Java, JavaScript, and Python to design and build end-to-end data processing applications. Middle-Tier, Storage & ETL: Proven experience developing middle-tier services, back-end data storage components, and scalable ETL workflows for large-scale enterprise datasets. Microservices & Caching: Practical experience developing within a microservices architecture and implementing local caching mechanisms for high-performance applications. Containers & Orchestration: Hands-on experience containerizing applications using Docker and Docker Compose, alongside supporting services in Kubernetes environments. CI/CD & Source Control: Experience building automated pipelines using Jenkins and managing code repositories via GitHub and GitLab. Secure Enterprise Integration & Agile: Familiarity with integrating corporate authentication protocols into secure full-stack solutions, utilizing Jira and Confluence in an Agile development lifecycle. • Education: Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, PLUS 7 + years of professional software development experience OR High School Diploma / GED , PLUS 11+ years of hands-on technical software engineering experience in lieu of a degree. • High-Performance Data Platforms: Familiarity with specialized data tools such as MinIO, ClickHouse, or Graphite for high-speed storage and metrics monitoring. • Modern UI & Systems Languages: Exposure to front-end frameworks like Vue.js, or low-level / high-performance systems languages including Go, Rust, or C++. • Cloud & Modern Databases: Familiarity with commercial cloud environments (preferably AWS) and relational/NoSQL databases like PostgreSQL. • Library Development: Experience building reusable software libraries and shared component frameworks across engineering teams.

Requirements

Must-haves

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
Full-Stack & Language Versatility: Core proficiency in Java, JavaScript, and Python to design and build end-to-end data processing applications.
Middle-Tier, Storage & ETL: Proven experience developing middle-tier services, back-end data storage components, and scalable ETL workflows for large-scale enterprise datasets.
Microservices & Caching: Practical experience developing within a microservices architecture and implementing local caching mechanisms for high-performance applications.
Containers & Orchestration: Hands-on experience containerizing applications using Docker and Docker Compose, alongside supporting services in Kubernetes environments.
CI/CD & Source Control: Experience building automated pipelines using Jenkins and managing code repositories via GitHub and GitLab.
Secure Enterprise Integration & Agile: Familiarity with integrating corporate authentication protocols into secure full-stack solutions, utilizing Jira and Confluence in an Agile development lifecycle.
High-Performance Data Platforms: Familiarity with specialized data tools such as MinIO, ClickHouse, or Graphite for high-speed storage and metrics monitoring.
Modern UI & Systems Languages: Exposure to front-end frameworks like Vue.js, or low-level / high-performance systems languages including Go, Rust, or C++.
Cloud & Modern Databases: Familiarity with commercial cloud environments (preferably AWS) and relational/NoSQL databases like PostgreSQL.
Library Development: Experience building reusable software libraries and shared component frameworks across engineering teams.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

javajavascriptpythondockerkubernetesci/cdagilejiravuegorustaws

Platform: agile-ats
Effort: medium