Job Description

Job title: Lead, Software Engineer - Data Analyst - TS/SCI

Job Details

Job Schedule: 9/80: Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off

Job Description:

We are seeking a highly skilled and motivated Software Engineer/Data Analyst to join our team. The ideal candidate will hold an active TS/SCI clearance, possess CompTIA Security+ certification or higher, and work onsite at Patrick Space Force Base. The successful candidate will be responsible for modernizing and migrating analytics applications into a high-performance web application using modern web technologies.

Essential Functions:

• Design, develop, test, and maintain full stack applications, including user-facing interfaces, back-end services, APIs, and data integrations.


• Build modern, responsive, and intuitive front-end solutions using current web development frameworks and best practices.


• Develop secure and scalable back-end services and application logic to support mission applications and workflows.


• Deploy and maintain applications in AWS, ensuring solutions are scalable, secure, resilient, and cost-effective.


• Integrate cloud-native services, databases, and application components across distributed environments.


• Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines.


• Collaborate with system engineers, cloud engineers, cyber teams, and mission stakeholders to define requirements and deliver end-to-end solutions.


• Engage in daily interaction with customers to understand operational needs, gather feedback, and refine application functionality.


• Prepare architectural designs, implementation plans, and technical roadmaps that align with organizational and mission goals.


• Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities.


• Deliver professional presentations and technical briefings to stakeholders, translating complex concepts into clear and actionable information.


• Support a variety of mission areas and adapt to evolving priorities in a dynamic operational environment.


• Familiarity with the C2S Access Portal (CAP) and high-side AWS environments.


• Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores.


• Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position.

Qualifications:

• Bachelor’s degree in computer science or computer engineering and a minimum of 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience.


• Active TS/SCI clearance.

Preferred Additional Skills:

• Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction.


• Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired.


• Experience as a Full Stack Developer with proficiency in front-end, back-end, and cloud-based application development.


• Proficiency with modern front-end technologies such as React, Angular, Vue, JavaScript/TypeScript, HTML, and CSS.


• Experience developing back-end services and APIs using languages/frameworks such as Java, Python, Node.js, .NET, or similar.


• Experience with RESTful APIs, microservices, and application integration patterns.


• Experience with Git, CI/CD pipelines, automated testing, and DevSecOps practices.


• Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred.


• Experience building and deploying mission applications in classified or high-security environments.


• Experience with containerization and orchestration technologies such as Docker and Kubernetes.


• Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar.

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