Top Remote Jobs in Brazil

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

As a Specialist Sales Manager, you will promote growth for Next-Gen SIEM and Data Pipelines, develop account strategies, negotiate agreements, and sustain relationships with decision-makers in enterprise customers.

Lead the development of microservices in a cloud-native SaaS environment, drive architectural strategy, and enhance product performance for public safety technology.

As a Senior Software Engineer II, you will design and build cloud-native APIs, collaborate on AI integrations, and enhance the web platform architecture.

Provide technical pre-sales support for SecOps products: lead discovery workshops, deliver demos, answer technical questions, collaborate with sales/product teams, give product feedback, manage territory and pipeline, and support marketing events. Travel as necessary.

Manage and lead the Technical Support team in Brazil, enhance customer experience, oversee operations, drive innovation, and collaborate with cross-functional teams.

The Pre-Sales Engineer will present the monday.com platform, handle technical objections, develop sales strategies, and support LATAM partners. The role requires strong communication, problem-solving skills, and technical curiosity.

Drive new business acquisition within an assigned territory by prospecting, qualifying, and closing enterprise accounts; build relationships with CTOs and engineering leaders; partner with solution architects, professional services and channel partners to maximize deal size and customer satisfaction.

Design and build distributed backend systems and foundational infrastructure for the Coinbase consumer app in Latin America. Provide technical leadership, define roadmaps, mentor engineers, write well-tested code, and implement components like dynamic configuration, secrets storage, and container orchestration.

Build and own observability, lifecycle management, and tooling for LLM-powered features. Design closed-loop evaluation pipelines, dashboards for cost/usage/latency, tie user feedback to prompts, and establish prompt development, testing, deployment, and monitoring best practices while partnering across engineering teams.