Summary
✨ AI‑Generated
A highly experienced software engineer is sought for an AI-native development environment. You will own delivery from design through production and measurement, work across backend and frontend systems, debug distributed architectures, and use AI agents for coding, testing, specification, and deployment. The role emphasizes continuous delivery, shared ownership, and high agency.
Highlights
High-autonomy engineering role with ownership of the full software delivery lifecycle. Provides hands-on work across frontend, backend, distributed systems, testing, deployment, and AI-assisted development within a cross-functional team.
Description
Job DescriptionAs an SDE III, you'll bring your engineering depth into a new way of working.
You won't just write code — you'll specify, orchestrate, validate, and ship with AI as your primary collaborator.
You'll work in a small, mission-driven cross-functional team called a pod — three functions (Product, Engineer, Quality) with high agency, shared ownership, and no hand-offs.
Reporting to the Tech Lead, you'll join the Product & Technology Team.
Are you ready to be part of a team that's redefining how software gets built in an AI Native setup?
What You Will Do
Deliver against the pod's mission — own the full software delivery lifecycle including quality, from design through production and measurement.Operate in continuous flow (Kanban) — pull work, respect WIP limits, ship daily.Use AI agents as your primary delivery mechanism — code generation, testing, spec writing, deployment.Design, build, and debug software across backend and frontend with distributed systems awareness.Evaluate and tune agent workflows — steering docs, prompts, rules, skills.
You improve the tools you use.Write clean, well-tested code and take ownership of quality end-to-end.Act as the initial on-call responder, ensuring health and stability of deployed applications.Mentor junior developers and contribute to shared tooling, knowledge bases, and the agent foundation kit.Engineering Mindset — What We Look For
We assess every candidate across six core dimensions:
AI Fluency: AI is the primary way we engineer.
Prompt, evaluate, and iterate.
Manual coding is a deliberate choice, not the default.Cross-Functional Versatility: “That’s not my area” doesn’t exist.
Contribute beyond your discipline, share knowledge openly, and communicate clearly across different formats.Customer and Value Awareness: Ask “why” and “for whom” before “how.” Understand the bigger business context while still being able to zoom in and trace a bug.
Map dependencies before you build.Craft: Apply SOLID principles, DRY, separation of concerns, and observability by default.
Write clean, maintainable code with the right level of testing.
Treat CI/CD as standard engineering practice, whether the code is written by a human or an AI agent.Technical Curiosity: Build a prototype, experiment, and try to break it before relying solely on documentation.
Stay curious about how things work and continuously explore better approaches.Agency & Entrepreneurship: Don’t wait for permission.
Take ownership of outcomes end-to-end, enable others to succeed, challenge the status quo, and proactively look for ways to create value.
