Full Stack Developer (CCDSO)

Decisive Point Consulting US,
$110,000 - $120,000Remote

About The Position

Currently seeking a remote Full Stack Developer to join our team. The ideal candidate will have strong experience across both front‑end and back‑end development, with deep expertise in Java, Node.js/TypeScript, React, cloud‑native architecture, AI‑enabled system design. You will be build event‑driven microservices, integrate AI/LLM capabilities, and ensure high‑quality, secure, and reliable software delivery in a regulated environment. Familiarity with Agile methodologies and a proven ability to work collaboratively within cross-functional teams.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Experience integrating LLMs or AI APIs into production systems.
  • Hands-on experience with AWS cloud-native services (Aurora, ECS, SQS, S3, PostgreSQL, MySQL).
  • Experience designing AI-enabled or data-intensive systems.
  • Familiarity with FHIR, HL7, or healthcare interoperability standards.
  • Hands-on experience with front-end frameworks (ReactJS or Angular).
  • Strong analytical and problem-solving skills with the ability to tackle complex technical challenges independently.
  • Excellent written and verbal communication skills for effective collaboration with technical and non-technical stakeholders.
  • Ability to obtain and maintain a Suitability/Public Trust clearance.

Responsibilities

  • Design, develop, and implement scalable, high‑performance applications using Python Django, Flask, or FastAPI, Java, Java EE, Java 17, Spring, Node.js/TypeScript, React/Angular ensuring reliability and maintainability.
  • Ensure responsive UI, cross browser compatibility, and optimized front end performance.
  • Develop and manage server‑side logic, RESTful APIs, and data integrations, working closely with relational and non‑relational databases such as PostgreSQL, MySQL, or MongoDB.
  • Ensure seamless integration between front‑end and back‑end systems, optimizing application performance and scalability.
  • Integrate LLMs and AI APIs (OpenAI, Bedrock, Claude, etc.) into enterprise systems.
  • Evaluate emerging AI technologies and recommend tools, frameworks, and architectures.
  • Troubleshoot, debug, and resolve complex technical issues while maintaining high coding standards through peer reviews and best practices.
  • Participate in Agile development activities, including sprint planning, design discussions, implementation, deployment, and continuous integration.
  • Develop tests and support quality assurance efforts using tools such as Cypress, or Playwright, and remediate security vulnerabilities in accordance with industry best practices.
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