• 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
• AI-Native Development
• 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.)
• ## What success looks like
• You ramp quickly and start contributing within weeks
• You ship production-ready features in short cycles
• You make sound architectural decisions without overbuilding
• You effectively use AI tools to meaningfully increase speed and output