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# Scientific Cloud Applications Developer

- **Company:** N-Link Corporation
- **Location:** Boulder, CO, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, JIRA, Automation of Tests, Cloud Computing, Cloud Engineering, Configuration Management, Information Systems, Databases, Continuous Integration, Relational Databases, Amazon DynamoDB, Monitoring of Systems, Python (Programming Language), PostgreSQL, MongoDB, Scrum Methodology, Cloud Services, Scientific Computating, Software Engineering, SQL Databases, Data Streaming, Data Processing, Data Storage Technologies, Cloud Platform System, Delivery Pipeline, Spring-boot, Backend, Gitlab, Database Migration, Containerization, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Non-relational Database, 3-tier Architectures, Cloud Integration, Api Design, Restful APIs, Code Restructuring, Software Version Control, Data Pipelines, Docker
- **Published:** August 21, 2026
- **Apply:** https://jobs.military.com/career/314357/scientific-cloud-applications-developer-colorado-co-boulder

## About the Role

At least a Master's degree in atmospheric science, space physics, geophysics, engineering, computer science, mathematics, information systems, or a related STEM discipline, and at least 10 years of experience in related areas.\n, * Strong proficiency in Python application development, including backend services, data processing, automation, API development, testing, and maintainable code design.\n

 * Strong Java development experience, including working with Spring Boot, and RESTFUL APIs.\n
 * Experience developing and supporting containerized applications using Docker or equivalent technologies.\n
 * Experience with AWS cloud services, cloud-native application patterns, infrastructure automation, deployment pipelines, and operational cloud integration.\n
 * Experience designing, querying, maintaining, and troubleshooting relational databases, including SQL and PostgreSQL or equivalent platforms.\n
 * Familiarity with non-relational or document/key-value databases such as DynamoDB, MongoDB, or equivalent systems.\n, * Experience supporting operational forecasting, scientific computing, environmental prediction, space weather, weather, aviation, emergency management, or other mission-critical operational environments.\n
 * Experience modernizing legacy applications through refactoring, database migration, containerization, API development, or cloud integration.\n
 * Experience with Agile SCRUM, Kanban, GitLab, Jira, or equivalent development and project tracking platforms.\n
 * Experience supporting applications in high-availability or 24/7 operational environments where reliability, maintainability, documentation, and rapid troubleshooting are essential.\n

## Description

* Develop and maintain Python-based applications, backend services, APIs, data processing workflows, and automation scripts supporting operational space weather applications and infrastructure.\n
 * Develop, maintain, and support containerized applications and services using Docker or equivalent technologies to improve reproducibility, portability, scalability, cloud readiness, and operational maintainability.\n
 * Develop and support infrastructure-as-code, configuration management, deployment automation, CI/CD workflows, and cloud-ready application patterns that align with SWPC modernization and agency cloud strategy objectives.\n
 * Integrate operational applications with AWS services, cloud-native infrastructure, data storage platforms, monitoring tools, and deployment pipelines.\n
 * Design, develop, maintain, and optimize relational and non-relational database solutions, including SQL-based databases and platforms such as PostgreSQL, DynamoDB, MongoDB, or equivalent systems.\n
 * Integrate scientific datasets, model outputs, observational data streams, forecast products, and time-series information into operational applications using scalable and maintainable delivery methods.\n
 * Support transition of applications from development or prototype environments into operational production environments, ensuring traceability, version control, configuration management, testing, documentation, and stakeholder acceptance.\n
 * Troubleshoot and resolve complex operational application issues, including data flow interruptions, database problems, API failures, container issues, deployment defects, performance degradation, and integration failures.\n
 * Provide Tier 3 on-call or escalation support, as required, for database and operational scientific applications, including technical assessment, root-cause analysis, and coordination needed to sustain operational continuity.\n


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