Minimum Qualifications

• Secret clearance required.
• 3-5 years applying full-stack development in a production environment.
• Demonstrated solutions mindset: Experience translating ambiguous requirements into a technical design or architecture, not just implementing pre-defined tickets.
• Experience with agentic AI coding tools: demonstrated proficiency using tools to enhance existing code stacks at scale.
• Proven full-stack development experience: minimum of 3-5 years developing, maintaining, and improving front-end and back-end systems.
• Proficient in at least one back-end language (Python preferred) and one front-end framework/tool (TypeScript preferred).
• Experience designing and consuming RESTful APIs for integration across systems.
• Strong foundational skills across relational (e.g., PostgreSQL, MySQL, SQL Server) and non-relational (e.g., MongoDB) databases.
• Comfortable operating in agile environments and collaborating across multidisciplinary teams.
• Version control proficiency: Git (GitLab preferred).
• Experience with testing, security, DevSecOps, and CI/CD processes.
• Strong communication and influence skills: able to pitch a technical solution to both engineers and non-technical stakeholders, and defend the "why" behind an architecture, not just the "how."

Desired Skills

• Advanced proficiency in agentic AI tools, including designing multi-step or multi-agent workflows to accelerate development.
• Experience with cloud environments (AWS, Azure, or Google Cloud) for designing and deploying cloud-based solutions.
• Microservices and containerized architecture experience (Docker, Kubernetes).
• UI/UX design sensibility - knowledge of React, Vue.js, or Angular used in service of better user outcomes, not just implementation.
• Infrastructure-as-code fluency (Terraform, Ansible) as part of a broader DevSecOps practice.
• Data engineering experience: ETL pipelines, data pipeline management, real-time analytics.
• Security certifications (Security , CISSP) highly desirable.
• Advanced Agile/SAFe experience, including shaping sprint planning around architectural priorities.
• A track record of proposing solutions others hadn't considered - whether that's a novel integration pattern, a smarter data flow, or a way to use AI tooling that saved a program significant time