Full Stack Developer

COMPANY86; Macapá; Presencial; BRL 120.000 - 150.000; Tempo integral

Resumo da oferta

A cybersecurity firm in Amapá is looking for a Staff/Senior Staff Software Engineer to architect and implement transformative software solutions. The position requires strong skills in Python and TypeScript, with an emphasis on taking ownership of outcomes and working in a small, high-impact team environment. Ideal candidates thrive in ambiguous settings and have experience with LLM APIs. This role focuses on meaningful contributions rather than traditional task management.

Qualificações

• Experience working end-to-end, beyond just coding.
• Comfortable with ambiguity and decision-making.
• Ability to integrate various LLM APIs.

Responsabilidades

• Shape software architecture and meaningful systems.
• Work with a high-trust team in an agile environment.

Conhecimentos

Outcome ownership

Python

TypeScript

React

LLM APIs integration

Descrição da oferta de emprego

Company Description 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’ll be shaping architecture, shipping meaningful systems, and using agentic coding tools (Cursor / ClaudeCode,etc.) as true force multipliers — not crutches.

You’d be a great fit if:

• Own outcomes end‑to‑end— not just code
• Work comfortably across Python + TypeScript / React
• Have experience integrating LLM APIs (OpenAI, Anthropic, Gemini, etc.)
• 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.