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.
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What We Do
We are your human-centric innovation partner, crafting impactful user experiences for government and commercial sectors with an unwavering commitment to efficiency and excellence.
Our Core Capabilities:
CMS Data Experience
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Enabling Interoperability in Healthcare
We build functionality using standards such as FHIR to allow for data interoperability between government agencies, providers, and patients. Guided by our long-time partnership with CMS and healthcare stakeholders, we advocate for patient data accessibility, striving to enhance the quality of care delivered.
Leaders in DevSecOps
As some of the earliest practitioners of DevSecOps within CMS, we exemplify the significance of a carefully engineered CI/CD pipeline. Amidst unprecedented HealthCare.gov registrations, our team safeguards its stability and reliability.
Consulting to Innovate
At Element, we act as consultative partners at the crossroads of innovation and our clients' needs. No matter the challenge, we identify and prioritize the appropriate methods, ensuring tailored solutions and using modern technologies.
We believe in a world where solutions we build improve the lives of those who use them, and the elements of Innovation, Collaboration, Integrity, Equity, Creativity are the foundation
