Top Software Engineer Jobs in Sao Paulo

As a Software Engineer II, you'll automate tasks, streamline the development lifecycle, and optimize deployment processes while collaborating with teams to enhance workflows and practices.

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.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

Build and evolve Circle Discover marketplace features: high-converting purchasing flows, algorithmic recommendations, content feeds, and listings. Work across a Ruby on Rails backend and React/Next.js front-ends, optimize performance and SSR/SSG, collaborate with designers and leaders, and improve codebase quality while shipping at pace in a distributed remote team.

Build full-stack, AI-first compliance platforms using Golang and React. Design scalable, event-driven services, integrate third-party vendors, ensure observability and reliability, mentor engineers, and lead architecture and cross-functional delivery for CX compliance tools.

Seeking an experienced engineer to develop cloud-native microservices and enhance SaaS products, focusing on teamwork, communication, and innovative problem-solving.

Design, build, and optimize Java-based backend microservices and RESTful APIs. Integrate relational and NoSQL databases, implement ORMs, write automated tests, improve CI/CD pipelines, ensure security and performance, and use generative AI tools to accelerate development and documentation in agile teams.

Own end-to-end partner and customer integrations: qualify requests, design and build connectors, implement data mappings and webhooks, ensure idempotency and observability, coordinate with partner teams, and deliver runbooks and handoffs. Feed integration patterns back into the platform to increase reuse and reliability.

The Software Engineer will design and maintain payment processing systems, mentor other engineers, and ensure security in client transactions within the crypto ecosystem.

Early-career engineer role building AI-driven features, prototypes, and production-quality systems using modern AI coding agents. Work closely with founders and senior engineers to iterate fast, direct and evaluate AI agents, and contribute to AI infrastructure and agentic development workflows.

Design, build, and scale full-stack applications with a backend focus. Build APIs, integrations, and user-facing frontends. Contribute to AI-powered features, system architecture, performance optimization, testing, and code reviews. Collaborate with product and client teams, own features end-to-end, and deliver measurable business outcomes in a remote environment.

Backend-focused full-stack engineer building scalable, data-driven applications, APIs, integrations, and data pipelines. Work includes cloud-hosted services, containerized deployments, frontend work with modern frameworks, and contributing to AI-powered features, architecture, and cross-team delivery.

Develops, designs, tests, integrates, and maintains full-stack software applications and systems. The role requires front-end expertise with Angular and TypeScript, back-end development with C# and .NET Core, relational database experience, RESTful API design, Azure cloud experience, automated testing, and CI/CD pipelines. The engineer will also contribute to scalable architecture and lead or mentor software development teams.

Design, develop, and modernize cloud-native Azure solutions and containerized microservices for a large-scale messaging platform. Provide technical leadership, enforce standards, conduct code reviews, mentor junior developers, and drive DevOps, observability, and event-driven architecture decisions. Evaluate new technologies and mitigate technical risks.

Join an agile team building HealthTech applications: design and implement scalable microservices, integrate ML and third-party systems, conduct code reviews, author technical documentation, debug and optimize systems, and own services over time while maintaining high code quality and delivery standards.

Lead and contribute to full-stack engineering work building scalable, high-quality customer-facing e-commerce applications. Design, develop, test, and deploy production code, influence technical architecture, mentor engineers through reviews and pair programming, and collaborate with product and design to deliver impactful features.

Design and enhance features for software products, collaborate in agile teams, deliver high-quality software, and support product management and QA.

Design and implement robust Rust services and libraries for trading, payments, and crypto consumer experiences. Build scalable, low-latency distributed systems, write efficient testable code, ensure security and reliability, debug across the stack, collaborate with product teams, own systems end-to-end, and mentor other engineers.

Develop and maintain MCP tools and the MCP Toolbox for Databases; expand test coverage for agentic coding assistants; refactor and maintain test frameworks; convert technical posts into production-ready sample code and documentation; build real-world data applications (QueryData) to support product R&D and collaborate with cross-functional teams to accelerate agentic AI adoption.

Build AI-native quality systems and agents that integrate LLMs into the testing lifecycle. Design and implement tools and services (client and server) to automate test generation, validation, coverage maintenance, and CI/CD integrations, collaborating with engineering and QE teams to improve developer productivity.

Build and maintain scalable, reliable software; own features end-to-end; participate in architecture, design, code reviews, and production monitoring; collaborate with product and design; adopt AI tools to improve productivity.

Design, build, and evolve a scalable aggregate system to accelerate query performance across cloud data platforms. Architect prediction and selection logic for high-value aggregates, analyze query workloads, and optimize placement strategies. Improve maintenance and scheduling for reliability and low overhead in large-scale environments; collaborate with query planning and platform teams.

Work embedded with strategic customers to design and implement end-to-end technical integrations using ElevenLabs' AI technologies. Own major projects, collaborate daily with customer engineering and executive teams, build scalable architectures, and solve complex technical problems to deliver high-impact solutions.

Build and operate AI-powered backend services and APIs for production LLM features. Own quality, latency, cost, observability, and reliability; ship experiments to production; review designs and collaborate across product, design, data science, and engineering.