Top Software Engineer Jobs in Sao Paulo

Design, implement, and scale Rust services and libraries for trading, payments, and crypto. Build reliable, high-performance distributed systems, collaborate on architecture, write testable async network code, and own production systems end-to-end.

Designs and delivers complex backend services and shared platform components for identity, authentication, and access control. Owns projects from design through production, breaks initiatives into milestones, resolves technical challenges, identifies risks, mentors engineers, documents technical decisions, and collaborates across teams to align engineering work with product priorities.

Develop observability software for network automation, including discovery, reconciliation, monitoring, and fleet management. Build multi-tenant, event-driven services using Go, protobuf APIs, PostgreSQL, Redis, and RabbitMQ. Apply observability and instrumentation expertise with OpenTelemetry, networking knowledge, secure coding practices, and coding agents. Collaborate with product, platform, NetBox, and open-source communities while producing technical specifications and delivering reliable integrations.

Build and maintain developer tools, SDKs, CLI, MCP interfaces, integrations, and supporting backend services. Collaborate on API contracts, compatibility, testing, releases, documentation, and shared tooling. Support developers through GitHub issues and pull requests while designing reliable systems with authentication, retries, idempotency, rate limits, monitoring, and error recovery.

Provides technical leadership for Java full-stack and microservices development. Responsibilities include architectural guidance, code reviews, technical debt reduction, performance optimization, observability, security remediation, developer mentoring, Agile collaboration, dependency coordination, and CI/CD improvement. Requires strong Java, Spring Boot, Angular, cloud, containerization, messaging, database, testing, and distributed-systems expertise.

Performs manual quality assurance testing for web and mobile applications within a Scrum team. Executes and documents test cases, conducts regression testing, identifies and tracks defects, validates fixes, and supports production issue investigations. Collaborates with developers, product owners, and stakeholders to ensure reliable software releases while managing multiple priorities and learning new systems and tools.

Design, develop, test, and maintain scalable financial services systems using Java, Spring Boot, PostgreSQL, Kafka, and AWS. Responsibilities include architectural design, performance tuning, asynchronous programming, continuous integration, production monitoring, documentation, and secure distributed application development. The role also involves collaborating cross-functionally, mentoring peers, and applying AI frameworks and financial-domain knowledge to payment, lending, fraud, and compliance solutions.

Build and maintain scalable full-stack applications for hotel customers worldwide. Collaborate with engineers, managers, and product leaders; write clean code using best practices and agentic development flows; improve products and technology; mentor engineers; conduct code reviews; advise on technical decisions; and independently execute ambiguous projects with a strong focus on customer experience and operational excellence.

Build and maintain backend services powering food search and logging. Tune Elasticsearch performance across indexing, query evaluation, relevance, cluster management, and monitoring. Develop search-quality metrics and experiments, evaluate data technologies, and collaborate with engineering and product teams. Write production Scala services while working with SQL and Python, large-scale data infrastructure, databases, Kafka, cloud platforms, and AI-powered development tools.

Design, architect, test, and deliver full-stack applications focused on financial reporting and data visualization. Refactor and optimize existing systems using Agile practices. Collaborate with product managers and data engineering to extract, parse, and serve large-scale private asset analytics. Provide end-to-end ownership of backend and frontend components to ensure maintainability and performance.

Develop, test, maintain, debug, and support software applications and platform components using .NET technologies. Collaborate within Agile teams with product owners, QA, support, and senior engineers to deliver reliable, maintainable solutions. Participate in sprint ceremonies, design discussions, code reviews, troubleshooting, root-cause analysis, and operational support. Apply secure coding, testing, CI/CD, performance, and modern engineering practices while increasing ownership and independence.

Build and maintain scalable Java Spring Boot backend systems for a dental practice management SaaS platform. Own major feature releases and platform migrations, ensuring production stability, performance, security, and reliability. Collaborate with frontend, product, and AI teams; integrate AI capabilities; conduct code reviews; improve engineering efficiency; and mentor teammates. Use AI tools responsibly while retaining architectural and code-quality ownership.

Lead frontend feature releases and own production lifecycle for React and TypeScript domains. Build scalable, tested, high-performance AI-powered interfaces, integrate with a Java Spring Boot backend, and improve user experience and team efficiency. Participate in code reviews, estimate development work, monitor frontend health, and ensure stable, reliable software for dental practices.

Build and optimize distributed Lance dataset operations, high-performance indices, table formats, and data encodings in Rust. Develop integrations with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems. Improve internal data processing infrastructure, contribute to open-source communities, and promote Lance through technical conferences. The role requires deep distributed systems expertise and extensive experience with high-performance databases, big data, or AI training systems.

Build and ship production software in client technology stacks, including APIs, services, data models, interfaces, automated tests, CI/CD, and failure handling. Use AI coding agents daily while reviewing all generated code. Work with relational and non-relational databases, third-party integrations, cloud deployments, infrastructure as code, and compliance requirements. Collaborate directly with clients in English and deliver maintainable, tested software end to end.

Build and own Java/Spring backend services supporting credit origination, risk analysis, loan disbursement, and repayment. Design reliable, secure, fault-tolerant systems on AWS, contribute to architecture and incident reviews, collaborate with product, data, and risk teams, and mentor peers. Experience with lending, event-driven architecture, fraud prevention, CI/CD, and infrastructure as code is advantageous.

Develop, customize, configure, and support Zoho CRM and related enterprise CRM solutions. Build Deluge and JavaScript automations, REST API integrations, workflows, dashboards, and custom functionality. Support data migrations, integrations, testing, deployments, troubleshooting, release management, and environment maintenance across multiple company implementations. Collaborate with architects, analysts, stakeholders, and cross-functional business teams to deliver scalable CRM solutions.

Build and scale primarily backend-focused full-stack applications for Chiri and its clients. Develop APIs, integrations, frontend experiences, AI-powered solutions, automations, and internal products using Python and TypeScript. Translate business requirements into scalable systems, participate in architecture and code reviews, optimize performance and reliability, and own features through deployment and support while collaborating with engineers, product stakeholders, and clients.

Develop, test, and maintain software applications using .NET/C#, React, Python, AWS, databases, APIs, and AI coding tools. Collaborate with stakeholders and cross-functional teams to clarify requirements, design solutions, conduct reviews, and perform unit and integration testing. Ensure code quality, security, performance, maintainability, backward compatibility, observability, and compliance with documented change controls in regulated environments.

Own and improve Wagmo’s AI-powered claims automation pipeline, reducing processing costs while preserving accuracy and expanding automated claim resolution. Design modular, testable stages with evaluation gates, ship production LLM features, and make model and cost-quality tradeoffs. Partner with Product on priorities, review and deploy code independently, process veterinary records, and maintain a reliable system handling real claims and payments.

Build and improve Airbnb’s analytics infrastructure and data products, including Superset, AI-powered data tools, and notebooks. Develop backend or full-stack features, integrate products with data platform services, gather user feedback, manage rollouts, improve reliability and observability, review technical designs, and provide lightweight on-call support. The role requires strong software engineering experience, data expertise, cross-functional project leadership, and a focus on high-quality user experiences.

Build, launch, and maintain gameplay features for Driving Empire on Roblox. Responsibilities include writing performant Roblox Lua code, designing scalable systems, translating product requirements into technical tasks, collaborating with designers and artists, monitoring live features, improving reliability and workflows, participating in code reviews, and playtesting to improve player experience.

Build and deploy production-grade agentic AI and machine learning systems, including scalable backend services, data pipelines, RAG applications, and cloud infrastructure. Collaborate with ML engineers, data scientists, and clients to discover use cases, develop AI-powered products, optimize platform performance, and support deployments. The role also involves MLOps, model monitoring and versioning, automated testing, infrastructure management, research and development, and direct client engagement.

Build and operate production software for marketing campaigns, lifecycle journeys, re-engagement automation, audience management, and customer segmentation. Develop and test APIs, maintain data synchronization pipelines, improve targeting tools, review code, resolve production issues, and contribute to system reliability. Collaborate with Product, Design, and engineering teams while progressively taking ownership of larger components. The role involves full-stack development using C#/.NET, TypeScript/JavaScript, cloud microservices, relational databases, and observability tools.

Build and iterate full-stack systems powering AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability; document findings, share technical learnings, and participate in reviews and technical discussions.