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Qualifications
We are looking for candidates with a strong background in software engineering, particularly with experience in infrastructure development. Proficiency in programming languages such as Python, Go, or Java is essential. Familiarity with cloud services and infrastructure management tools will be beneficial.
About the job
Dropbox, Inc. is looking for an Infrastructure Software Engineer to join the team remotely from Mexico. This role centers on building and maintaining the systems that support Dropbox's core services.
Key responsibilities
Collaborate with teammates to enhance and support the company's infrastructure.
Develop solutions aimed at keeping systems reliable and efficient.
Take part in projects that help ensure stable and seamless operations across Dropbox's services.
Location
This is a remote position based in Mexico.
About Dropbox, Inc.
Dropbox is a leading cloud-based file storage and collaboration platform that empowers individuals and teams to work more effectively. Our mission is to unleash the world’s creative energy by providing a secure and accessible space for storing and sharing files.
Dropbox, Inc. is looking for an Infrastructure Software Engineer to join the team remotely from Mexico. This role centers on building and maintaining the systems that support Dropbox's core services. Key responsibilities Collaborate with teammates to enhance and support the company's infrastructure. Develop solutions aimed at keeping systems reliable and eff…
Role overview Speechify seeks a Software Engineer specializing in Data Infrastructure and Acquisition to join the team in Monterrey, Mexico. This position focuses on strengthening the systems that gather and connect data throughout the organization. The work plays a key role in supporting product performance and shaping the user experience for Speechify customers. What you will do Improve and fine-tune data infrastructure to ensure reliability and scalability Enable smooth data integration and acquisition from a variety of sources Collaborate with engineering, product, and other teams to deliver solutions that address business goals Help design and continuously enhance the architecture of data systems
Speechify’s mission is to remove barriers to learning caused by reading challenges. With a user base of more than 50 million, Speechify turns PDFs, books, Google Docs, news articles, and websites into audio, helping people read faster and retain more. Our text-to-speech technology powers apps for iOS, Android, Mac, Chrome, and the web. Google named our Chrome extension Extension of the Year, and Apple recognized us with a 2025 Design Award. Speechify operates fully remotely, with no physical office. Nearly 200 team members, including frontend and backend engineers, AI researchers, and industry veterans from Amazon, Microsoft, Google, and more, work together from around the world. Our team also includes graduates of top PhD programs and founders of companies like Stripe, Vercel, and Bolt. Role Overview The Data team within our AI division is looking for a Software Engineer focused on data infrastructure and acquisition. This position plays a central role in collecting and managing the data that powers model training. The team’s goal: build and maintain high-quality datasets at petabyte scale while controlling costs through strong infrastructure and engineering practices. What You’ll Do Find and integrate new sources of audio data into the ingestion pipeline. Manage and improve the cloud infrastructure for data ingestion, using Google Cloud Platform (GCP) and Terraform. Work with scientists to optimize for cost, throughput, and data quality, delivering better datasets to support advanced models. Collaborate with the AI team and company leadership to shape the dataset roadmap for future consumer and enterprise products. Location This role is based in Mexico City, Mexico.
Full-time|On-site|Santiago de Querétaro, Querétaro, Mexico
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Full-time|On-site|Mexico City, Mexico City, Mexico
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Full-time|On-site|Mexico City, Mexico City, Mexico
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Full-time|On-site|Santiago de Querétaro, Querétaro, Mexico
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Full-time|On-site|San Luis Potosi, San Luis Potosi, Mexico
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