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Full Stack Engineer
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Full Stack Engineer $85 - 90/hr
HybridFinancial Regulatory & SRO Job ID:
26-02575 Last updated: 22 hours ago
Location:
Rockville, MD Software Guidance & Assistance, Inc., (SGA), is searching for a Full Stack Engineer for a
CONTRACT
assignment with one of our premier Regulatory clients in Tysons, VA or Rockville, MD. Seeking an experienced and high-performing Full Stack Engineer who works on broad problems of diverse scope that require decision making and creativity. This role is central to our mission of protecting investors and maintaining fair and efficient markets. The ideal candidate is a versatile, self-driven developer who thrives in a fast-paced environment, takes ownership of complex technical challenges, and actively leverages AI-powered tools to accelerate and elevate the software development lifecycle (SDLC). Responsibilities
- Possesses a solid understanding and familiarity of systems and processes within job area.
- Preemptively identifies and resolves technical risks before they jeopardize the project. Resolves cross-team dependencies earlier to ensure the successful execution of the project.
- Solves complex business problems and implement ways to simplify code and infrastructure. Prioritizes tasks that lead to lower system and infrastructure maintenance and migration costs with meaningful and measurable impact.
- Design, develop, and maintain robust full-stack applications supporting regulatory operations
- Apply GenAI tools and techniques throughout the SDLC to improve developer productivity, code quality, and delivery speed
- Build and enforce automated testing strategies to ensure code reliability, performance, and scalability
- Collaborate with cross-functional teams — including product, data, and compliance stakeholders — to deliver high-impact software solutions
- Lead and participate in code reviews, uphold coding standards, and mentor peers
- Continuously optimize application performance, scalability, and maintainability
- Contribute to CI/CD pipeline improvements and DevOps best practices