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Mid-level fullstack SDE in a metro with broad skills but non-remote role yields moderate competition.
Software engineering skills transfer across industries, though AI-agent and regulated-gaming experience increase specificity.
Multiple mandatory technical proficiencies and AI-fluency raise filter strictness despite no years specified.
Own the full software delivery lifecycle including design, development, production deployment, and measurement in an AI-native environment.
Utilize AI agents extensively for coding, testing, documentation, specification, and deployment within a continuous-flow (Kanban) team structure.
Act as first responder for production issues and mentor junior developers, contributing to shared tools and AI agent foundations.
Strong proficiency in at least one: Java/Spring Boot, Python, .NET, Go, or Angular.
Solid foundation in distributed systems, data structures, API design, databases, and cloud computing.
Experience with clean code practices, TDD, CI/CD, version control, production debugging, and observability.
Work Experience Required: Not explicitly mentioned in the JD.
Operates effectively in cross-functional pods with high ownership and minimal hand-offs, integrating Product, Engineering, and Quality perspectives.
Highly skilled in AI-assisted software development tools and methodologies, including prompt engineering and AI output evaluation.
Demonstrates strategic focus on business impact, customer needs, and continuous technical experimentation within engineering best practices.