Job title: Lead, Software Engineer - Data Analyst - TS/SCIJob DetailsJob 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.
