Sr. Full Stack Developer

Key Responsibilities

• Lead the end-to-end design, development, testing, and deployment of full stack web applications for state-level AI and data systems.
• Work closely with data scientists, AI engineers, and business analysts to integrate AI models into production environments.
• Architect, build, and maintain APIs and microservices to support secure data exchange and model deployment.
• Develop responsive and accessible front-end interfaces using modern frameworks (e.g., React, Angular, or Vue).
• Optimize application performance, scalability, and reliability in compliance with state IT security and accessibility standards.
• Participate in Agile development processes, including sprint planning, code reviews, and DevSecOps practices.
• Collaborate with state IT teams to ensure compliance with data governance, privacy, and interoperability requirements.
• Mentor junior developers and contribute to technical documentation and best practices.I
• Implement accessible, multilingual, and WCAG 2.1 Level AA-compliant user interfaces to ensure inclusive access for diverse user groups across the Commonwealth.
• Develop and maintain metadata-driven components that enhance FAIR data practices—enabling datasets and AI models to be Findable, Accessible, Interoperable, and Reusable across systems.
• Build and maintain sandbox and staging environments supporting iterative testing, accessibility validation, and phased rollout of new features prior to production deployment.
• Embed secure coding standards and Zero Trust principles into every layer of application development, ensuring compliance with NIST SP 800-53, StateRAMP, and applicable state cybersecurity policies.
• Integrate synthetic data workflows and privacy-preserving methods to enable safe AI testing and model validation without exposing sensitive information.
• Contribute to performance and compliance dashboards that track defect resolution rate, accessibility compliance, and user adoption metrics across releases.
• Collaborate with governance, data, and security leads to ensure every deployment aligns with AI ethics, transparency, and state governance frameworks.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 8+ years of experience as a full stack developer with strong proficiency in both front-end and back-end technologies.
• Expert knowledge of JavaScript/TypeScript, Python, Java, or .NET (depending on tech stack).
• Proven experience with front-end frameworks such as React, Angular, or Vue.js. 
• Strong back-end experience with Node.js, Spring Boot, Flask, or similar frameworks.
• Experience designing and consuming RESTful and GraphQL APIs.
• Proficiency with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.).
• Experience in cloud environments (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
• Understanding of CI/CD pipelines, Git, and DevOps tools.
• Familiarity with integrating AI/ML models into applications (preferred).Knowledge of security best practices for government systems and compliance frameworks (FedRAMP, NIST, etc.).
• Demonstrated experience developing applications compliant with Section 508 and WCAG 2.1 accessibility standards.
• Familiarity with FAIR data principles and metadata standards that support discoverability and interoperability across government systems.
• Proven experience delivering full-stack applications in sandbox or phased rollout environments for regulated or public-sector programs.
• Excellent problem-solving, communication, and collaboration skills.
• US Citizenship or Permanent Residency required.
• Must reside in the Continental US.
• Depending on the government agency, specific requirements may include public trust background check or security clearance.

Preferred Qualifications

• Master’s degree in Computer Science, Data Engineering, or related field.
• Prior experience working on state or federal government contracts.
• Hands-on experience deploying machine learning models or data pipelines.
• Familiarity with data visualization and business intelligence tools.
• Experience working in Agile/Scrum environments.
• Experience integrating multilingual frameworks, content localization, or internationalization (i18n) features into enterprise applications.
• Knowledge of ethical AI design, transparency in user interfaces, and responsible AI interaction patterns.
• Experience contributing to DevSecOps pipelines with automated accessibility, performance, and compliance testing integrated into CI/CD workflows.