Senior Software Engineer (Elixir) - Uruguay

• Own outcomes end-to-end, wherever you're deployed. Frame the problem, design it, ship it, own the metric. Descope to the cheapest version that works. Prototype in days
• Stay close to customers. Shadow sales and support, join advisory conversations, and let customer reality drive technical decisions. Propose what to build, defer, and kill
• Own your domain and share it. Its interfaces, reliability, performance, and security, including on-call for the systems you own. Consent and PII handling are central to customer trust. Bring patterns, tooling, and hard-won context back to the wider org rather than hoarding them
• Architect AI-driven leverage. Build AI-assisted workflows that hold up, evolve the team's practices as tooling changes, and look for product wins AI unlocks (smarter routing, anomaly detection, and more)
• Multiply the teams you touch. Mentor on judgment and product sense, not just syntax. Write decision memos and ADRs. Enable Product and Design to self-serve, You'll report to an Engineering Manager who owns several teams and stays out of their daily flow. As you embed, you'll often act as the player-coach Tech Lead, owning technical direction while the EM owns delivery health and stakeholder alignment across the group.

Success looks like movement in a user or business metric you/your team owns, high-value work deliberately not built, decisions made fast, and teams that move faster after you've worked with them, not just while you're there.

Reports to:

• Engineering Manager

• A track record of shipping something end-to-end that you cared about and owning the outcome, not just the code
• Product judgment: pushing back on a bad spec, proposing the cheapest experiment, and descoping well
• Comfort embedding with unfamiliar teams and codebases, getting productive fast, and leaving them better than you found them
• Deep full-stack expertise: Elixir, Vue 3 / Nuxt, Postgres at scale, AWS (Kubernetes a plus). Node.js a bonus
• Strong systems design judgment in ambiguous contexts, and a security mindset aligned with sensitive consumer data and compliance
• Fluency reading AI output critically and building your own AI-assisted workflows
• Clear written and verbal communication. Mentorship experience. 5-10% travel

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