A builder. You go from problem to prototype to production. You don’t wait for a perfectly scoped ticket or a sprint planning meeting. You see the gap and you close it.
Craft-obsessed. You’ve studied how the best companies build software and have real opinions about what makes it great. Your standards are high. What you ship is clean, secure, and considered, even when you ship it fast.
Intuition-driven. You’ve done enough reps to trust your gut on architecture decisions, move quickly, and be right far more often than you’re wrong. When the requirements aren’t clear, you use judgement to evaluate tradeoffs. Always finding a way to move.
AI-native. You’re already using AI every day as core infrastructure. You see it as the thing that turns one engineer into ten.
Full-stack by instinct. Frontend, backend, infrastructure. You go wherever the problem is. React, TypeScript, Node, AWS are your tools, not your identity. You pick up whatever’s needed.
You care about outcomes. Every endpoint, every interaction, every system is built around how your customers will actually experience the product.
Where you operate at this level
You produce high-quality, impactful work that drives team success. You take full ownership — proactively identifying and addressing challenges while staying focused on solutions. You lead by example with positivity, reframing setbacks as opportunities to learn and grow. You collaborate openly through radical transparency, ensuring alignment and trust among teammates and stakeholders.
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Deep expertise in TypeScript, JavaScript, Python, or other programming languages
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Extensive experience designing, building, and operating production systems on AWS or similar cloud platforms (EC2, ECS, RDS, DynamoDB, S3, CloudWatch)
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Proven ability to work across the stack — frontend, backend, infrastructure — and make sound tradeoffs between them
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Track record of leading technical projects that span multiple services or systems
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Experience defining technical direction for a team, including architecture decisions, tooling choices, and engineering standards
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Proven ability to architect, debug, and ship using AI development tools (Claude Code, Cursor, etc.) — not just prompting, but knowing when the output is wrong, why, and how to fix it
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Strong communication skills — you can align engineers and stakeholders around a technical approach