7+ years of software engineering experience
Strong full-stack capability (frontend, backend, and cloud infrastructure)
Comfortable stepping into an architectural role when needed
Experience deploying and operating applications in cloud environments (AWS, Azure, or GCP)
Solid understanding of the full SDLC
Deep experience with (i.e., daily usage of) AI coding harnesses
Hands-on experience using AI-assisted development tools beyond basic code generation
Ability to leverage AI across the workflow (e.g., prototyping, debugging, test generation, QA, code review, security analysis)
Familiarity with modern AI-enabled development environments and practices
Infrastructure as Code (e.g., Terraform)
CI/CD and modern DevOps practices
Extensive experience with one or more of the following languages: Python, Typescript, Golang, Rust
Experience with deploying and maintaining applications in the AWS ecosystem
Experience with AI engineering – building agentic workflows into products that balance efficiency and quality (e.g., Pydantic AI, CrewAI, LangGraph, etc.)