Lead Technology – Web Scraping, Data Platform

Job not on LinkedIn

🕒 May 13

🗣️🇧🇷🇵🇹 Portuguese Required

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Donnes

11 - 50 employees

Founded 2021

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

Donnes is a specialized recruitment and selection company based in São Paulo that acts as an extension of client HR teams to deliver fast, high-quality hiring. Using a proprietary method (Fórmula Donnes: Imersão, Talent House, Talent View) and dedicated squads for segments like technology, finance, corporate/operations, international hires and early-career programs, they provide continuous delivery of 3–5 vetted candidates per role within days, detailed recruiter reports, and guaranteed replacements. Donnes also operates Boost Labs, a unit that builds custom tech solutions using data and AI to support recruitment processes.

📋 Description

• Provide technical leadership for the company's technology function • Drive the evolution of the platform architecture, stability, and scalability • Lead technical decisions related to scraping, infrastructure, data, and back-end • Support the development of the technical team and the evolution of operations • Actively participate in development, troubleshooting, and critical stack decisions • Establish processes, best practices, and technical organization for the area • Work closely with the founders/partners on technology-related decisions and business growth.

🎯 Requirements

• Strong experience with Python applied to large-scale web scraping • Experience with tools such as Scrapy, Playwright, Puppeteer, or similar • Experience in back-end development and building APIs • Knowledge of JavaScript and/or TypeScript • Experience with cloud computing on AWS and/or GCP • Experience with databases such as PostgreSQL, BigQuery, DynamoDB, and OpenSearch • Ability to operate strategically without losing technical depth • Experience providing technical leadership for people, projects, or operations.

🏖️ Benefits

• 100% remote • Potential stock options/equity • Compensation structured according to seniority and potential impact on the operation.

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