Full Stack Developer

COMPANY86; Manaus; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A cybersecurity and AI solutions provider is seeking a Staff / Senior Staff Software Engineer. This role prioritizes ownership and meaningful contributions over simple task execution. The ideal candidate has experience in Python, TypeScript, and React, loves to work in small teams, and thrives in ambiguous environments. If you are someone who shapes architecture and engages with innovative coding tools, we encourage you to apply for a challenging yet rewarding opportunity in Recife, Brazil.

Responsabilidades

• Own outcomes end-to-end, not just code.
• Work comfortably across Python, TypeScript, and React.
• Make smart trade-offs with imperfect information.
• Prefer small, high-impact teams over large environments.

Conhecimentos

Python

TypeScript

React

Descrição da oferta de emprego

At Company 86, we specialize in cybersecurity, digital transformation, and advanced AI implementation to deliver measurable and secure results for our clients. With decades of real-world experience, we focus on practical and future-ready outcomes through strategy, design, and delivery. Our mission is to ensure successful, transformative solutions that meet the evolving needs of businesses. We are committed to innovation and delivering cutting-edge expertise through our core principles: Cyber, Transformation, and AI.

Role Description

I’m working with a small, high-trust team that’s hiring 2 Staff / Senior Staff Software Engineer — someone who thrives in ambiguity, takes real ownership, and prefers defining problems rather than waiting for tickets. This is not a “tasks + Jira board” role. You’d be shaping architecture, shipping meaningful systems, and using agentic coding tools (Cursor / Claude Code, etc.) as true force multipliers — not crutches.

You’d be a great fit if you:

• Own outcomes end-to-end — not just code
• Work comfortably across Python + TypeScript / React
• Enjoy making smart trade-offs with imperfect info
• Prefer small, high-impact teams over large, process-heavy environments

It’s ideal for someone who notices broken assumptions early, treats ambiguity as raw material, and raises the bar through example rather than process.