openqareer

Senior Full-Stack Engineer

Worthy · Удалённо · Remote

# Senior Full-Stack Engineer **Worthy** · Remote · `Remote` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Get on Board (LATAM)* --- ### About the Role Senior, and genuinely full stack. You’ve shipped and operated production systems end to end. You don’t need to be an expert in every layer on day one, but you should be someone who has repeatedly gone and learned the layer the problem was in. Comfortable with loose requirements. You’ll often get a problem and a constraint, not a spec. You convert that into a plan, ask the two questions that actually matter, and start building. A finisher. You can drive a project from a vague idea to shipped and stable — including the unglamorous last 20%. AI-pilled, concretely. You’re already building with agents, not just autocompleting with them. You have opinions about what to hand to a model, how to verify its output, and where the leverage actually is. We’ll ask what you’ve automated. Strong judgment about risk. We handle sensitive financial data for people who can’t afford for us to get it wrong. You know which corners are safe to cut and which aren’t. Ship features end to end across the stack: Django REST API, Next.js consumer and admin apps, React Native mobile app, and the AWS infrastructure under all of it Build and maintain the agents that do our operational engineering work — incident triage, automated fix PRs, test authoring and execution, security and compliance audits, dependency upgrades Develop LLM-powered product surfaces (negotiation agents, conversational onboarding) along with the eval and observability tooling that keeps them honest Own Terraform-managed AWS infrastructure and the GitHub Actions pipelines that deploy to it Scope work directly with the CEO from loose requirements, then drive it to shipped, adopted, and stable Operate what you ship — watch it in production via Sentry, Logfire, and PostHog, and fix what you find - Experience shipping and maintaining a React Native app in both app stores - Background building LLM evals or agent observability

Наблюдалась 2026-10-03, впервые 2026-10-03, источник — Get on Board (LATAM).

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