Roles remotos de Python para candidatos en Brasil.

Provide hands-on engineering support for an internal audit and code-modification platform

You are a builder: You don't just use tools; you build them. You have 5+ years of experience in SRE, DevOps, DevEx or Platform Engineering with a heavy emphasis on software development.

Design, build, and optimize high-volume, high-performance ELT pipelines for a centralized data warehouse

Building tools and applications to extends Calendly’s infrastructure platform

4+ years of experience as a Platform Engineer

Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark.

Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark.

Flexible remote work environment

Define, track, and improve Service Level Objectives (SLOs), SLIs, and error budgets to ensure reliability targets are met

4+ years experience in SRE, infrastructure, or platform engineering roles

(SOC2, ISO27001, PCI DSS). Experience with designing and developing AI based solutions. Ability to manage and collaborate across cross-functional teams. Proven ability to reduce operational toil through automation.

Develop, maintain, and optimize data processing systems and ETL pipelines using tools such as Azure Data Factory and Azure Databricks.

Design and manage infrastructure using Terraform (Infrastructure as Code)

Define and lead infrastructure and reliability strategy across the platform

A DevSecOps engineering mindset

The rate depends on your skills and experience. We've already paid out over $11M to our engineers.

These responsibilities are activated as needed, not part of day-to-day operations.

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

Drive the development of automation, Gitops in your team as an embedded tech lead

Degree in Software Engineering or Computer Science

Provide operational and engineering leadership.

Python - advanced

Design and implement end-to-end AI architectures, including data pipelines, model orchestration, and scalable inference endpoints.