Full Stack Developer

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

Resumo da oferta

A cybersecurity and digital transformation firm in Natal seeks a Staff/Senior Staff Software Engineer who thrives in ambiguity and takes ownership of outcomes. This role emphasizes the development of meaningful systems using Python, TypeScript, and integration of LLM APIs like OpenAI. Ideal candidates appreciate working in small teams and are comfortable with making informed decisions despite uncertainties. If you want a role that values problem definition over task management, this position is for you.

Qualificações

• Experience in software engineering with Python and TypeScript.
• Ability to work in small teams and own projects end-to-end.
• Experience integrating LLM APIs such as OpenAI and Anthropic.

Responsabilidades

• Shape architecture and deliver meaningful systems.
• Define problems proactively rather than waiting for tasks.
• Collaborate within a high-trust, small team environment.

Conhecimentos

Python

TypeScript

React

Integrating LLM APIs

Problem-solving

Ferramentas

Agile coding tools (Cursor / ClaudeCode)

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’mworkingwithasmall,high-trustteamthat’shiring2 Staff / SeniorStaffSoftwareEngineer —someonewhothrivesinambiguity,takesrealownership,andprefersdefiningproblemsratherthanwaitingfortickets. Thisis not a“tasks+Jiraboard”role.You’dbeshapingarchitecture,shippingmeaningfulsystems,andusing agenticcodingtools(Cursor / ClaudeCode,etc.)astrueforcemultipliers—notcrutches.

You’dbeagreatfitifyou :

• Ownoutcomesend-to-end—notjustcode
• Workcomfortablyacross Python+TypeScript / React
• Haveexperienceintegrating LLMAPIs (OpenAI,Anthropic,Gemini,etc.)
• Enjoymakingsmarttrade-offswithimperfectinfo
• Prefersmall,high-impactteamsoverlarge,process-heavyenvironments

It’sidealforsomeonewho noticesbrokenassumptionsearly,treatsambiguityasrawmaterial,andraisesthebarthroughexampleratherthanprocess.