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Popular fullstack title, mid-level experience expectation, metro location, and broad skill requirements increase competition.
Fullstack engineering skills are highly transferable across industries.
No explicit years but requires broad fullstack, testing and AI-first skills, making filters moderately strict.
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Design, build, and deliver end-to-end full stack application enhancements ensuring high quality, security, and operational standards.
Use AI-first development approach with approved AI tools to accelerate delivery, improve code quality, testing, and documentation.
Collaborate cross-functionally with Product, QA, Business Analysis, and DevOps to align on scope, testing, and release planning; support production stability and continuous improvement.
Expertise in at least one core programming language/platform with knowledge of design patterns, automation, cloud fundamentals, DevOps basics, and database design.
Experience in writing comprehensive automated tests and delivering maintainable, testable solutions.
Work Experience Required: Not explicitly mentioned in the JD.
Position contingent upon contract award; availability and candidate inclusion subject to program being awarded.
Able to independently own complex problems from requirements through production support with sound engineering judgment and minimal supervision.
Experience working in collaborative environments across Product, QA, Business Analysis, and DevOps teams aligning on delivery and quality.
Adopts and validates AI-assisted development outputs to enhance engineering outcomes while ensuring security and maintainability.