Top Remote Jobs in Brazil

Manage strategic partnerships in LATAM for AdGem. Responsibilities include securing integrations, overseeing the sales cycle, and collaborating with internal teams.

Provide post-sales technical expertise to help customers adopt GitLab via webinars, labs, workshops, and consultative engagements. Collaborate with CSMs, AEs, and renewals to support implementations, architecture, CI/CD, SCM, DevSecOps, and Agile Planning. Create reusable enablement content and maintain specialty competency.

Design, build, and productionise AI-powered features (LLMs, RAG, agents) across payments products. Develop data pipelines, model integrations, APIs, monitoring, and responsible AI guardrails. Collaborate with product, engineering, and domain experts to evaluate, benchmark, and scale reliable, secure, observable AI systems.

Build a unified data architecture for AirDNA's Strategy & Planning team: audit and consolidate cross-functional data, create executive dashboards, deliver ad-hoc analyses, automate reporting, ensure data quality and governance, document processes, and partner with Growth, Finance, Marketing, and Support to close data gaps.

Design, build, and operate backend services in Go/gRPC to support CX and compliance workflows. Integrate and maintain third‑party SaaS and vendor APIs, operate production systems on AWS/Kubernetes/Terraform, drive engineering best practices, collaborate cross‑functionally, and apply responsible generative AI practices to improve workflows.

Design, build, and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Collaborate with ML, product, and front-end teams to ship AI-powered features, evolve infrastructure as code for high availability, mentor junior engineers, and contribute to documentation, testing, and reliability across the Superhuman product suite.

Lead Halter's market entry into Brazil by building and scaling a regional commercial organization. Own revenue, forecasting, sales, marketing, and customer lifecycle. Hire and coach field teams, run disciplined commercial rhythms, shape product-market fit through field insights, and drive customer adoption, retention, and expansion while representing South American needs to global HQ.

Provide technical expertise and hands-on support to large MongoDB customers, troubleshooting architecture, performance, recovery, and security. Advocate customer needs to product and development teams, contribute to internal tooling and diagnostics, and advise on best practices for running MongoDB at scale. Work in a hybrid role based in São Paulo.

Lead an enterprise Datadog organization migration, automating the transfer of monitors, dashboards, SLOs, logs, integrations, security settings, and access controls. Use Datadog APIs, CLI, Terraform, AWS, and Kubernetes to build and validate a resilient observability platform. Collaborate with engineering teams, troubleshoot migration issues, verify monitoring parity, and support cutover and stabilization.

Lead enterprise-scale GitHub migrations across more than 2,000 repositories and their CI/CD ecosystems. Responsibilities include migration discovery, design, automation, pilot execution, cutover, validation, rollback, and stabilization. Administer GitHub Enterprise, repositories, workflows, runners, permissions, secrets, integrations, and OIDC configurations. Support Terraform automation, AWS/EKS, Kubernetes, Jenkins, and GitHub Actions while troubleshooting platform issues and collaborating with engineering teams.

Build and maintain scalable data pipelines using Databricks and PySpark. Develop ingestion, transformation, and processing workflows across Data Lake environments, integrate relational and NoSQL databases, troubleshoot pipeline issues, and support reliable data solutions. Collaborate with international technical teams in English and contribute to modern cloud-based data engineering practices.

Design, develop, and maintain scalable cloud data pipelines and infrastructure for analytics and machine learning solutions. Collaborate with cross-functional teams to ensure data integrity, usability, and quality. Build CI/CD pipelines for ETL processes, document workflows and architectures, and provide technical troubleshooting. The role requires Databricks, Spark, Python, SQL, dimensional modeling, and Data Lake or Data Warehouse experience, with Azure, AWS, Power BI, and Unity Catalog as beneficial skills.

Design and manage scalable platform infrastructure, CI/CD pipelines, and Infrastructure as Code. Conduct technology proofs of concept, optimize system reliability and performance, troubleshoot complex infrastructure and deployment issues, integrate security practices, and mentor team members. Collaborate with architects and development teams to deliver highly available cloud and on-premise environments using Azure or other major cloud platforms, containers, orchestration, and automation.