Full Stack Developer

COMPANY86; Embu das Artes; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A cybersecurity firm in São Paulo is looking for a Staff/Senior Staff Software Engineer who excels in ownership and thrives in ambiguity. Candidates should be comfortable working with Python and TypeScript/React and have experience with LLM API integration. The role requires shaping architecture and delivering meaningful systems within a small, trusted team. Ideal for those who prefer innovative environments over large, process-heavy ones.

Qualificações

• Experience in Python and TypeScript/React development.
• Ability to own project outcomes rather than focusing solely on coding.
• Familiarity with integrating LLM APIs like OpenAI and Anthropic.

Responsabilidades

• Shape architecture and deliver meaningful systems.
• Collaborate within a small, high-trust team.
• Make smart decisions with incomplete information.

Conhecimentos

Outcome ownership

Python

TypeScript

React

LLM API integration

Ferramentas

Cursor

Claude Code

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'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
• 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.