Top Software Engineer Jobs in Sao Paulo

Develop and architect scalable, high-availability Java backend services for NinjaOne’s endpoint management and remote access products. Lead software development, influence architecture, solve complex scalability challenges, mentor engineers, and improve quality, performance, reliability, and maintainability. Build APIs, relational database solutions, caching systems, and distributed services supporting millions of endpoints across multi-region AWS environments.

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 AI-powered quality platforms, mobile testing frameworks, and scalable infrastructure for Airbnb’s iOS and Android ecosystems. Develop in Swift and Kotlin, integrate LLM-driven test automation, optimize distributed testing and CI/CD systems, and improve mobile code quality, reliability, and developer productivity. Collaborate with mobile, research, and data science teams while contributing to code reviews and engineering standards.

Build and operate Python-based, multi-agent AI backend systems for go-to-market workflows. Design model-agnostic LLM architectures, tool-use patterns, integrations, observability, evaluation infrastructure, and production services deployed on Kubernetes. Own systems end-to-end, including architecture, deployment, reliability, experimentation, debugging, and incident resolution across CRM, enrichment, outreach, and communication platforms.

Build AI-powered features that automate data-driven slide decks and documents. Develop production LLM solutions using LangChain, RAG, LlamaIndex, and generative AI technologies; improve system performance and reliability; and collaborate with designers and engineers. Responsibilities span AI insights, content generation, integrations, optimization, and potentially LLM agents. The role requires advanced Python, machine learning and NLP expertise, and experience building and fine-tuning LLMs in production.

Design, implement, and maintain scalable cloud backend services and REST APIs using Java and Spring. Build microservices with Hibernate-backed data access, deploy across AWS/Azure/GCP, troubleshoot system issues, collaborate with cross-functional teams, and produce technical documentation.

Build and maintain scalable full-stack systems for an AI-powered sales intelligence platform. Responsibilities include developing customer-facing Vue interfaces, PHP/Laravel backend services and data-processing jobs, integrating external data providers, optimizing MySQL schemas and queries, collaborating on AI workflows, and improving system reliability, deployment, monitoring, and performance at scale.

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.

Design, build, and operate Shippo’s carrier integration platform and third-party API integrations. Responsibilities include developing new integrations, modernizing existing systems, creating internal operational tools, monitoring production services, participating in on-call support, collaborating cross-functionally, and contributing to technical direction through design and code reviews. The role also supports teammate growth through documentation, feedback, and mentoring.

Lead mobile quality strategy and scalable automation for native iOS and Android applications. Define testing, device coverage, CI/CD, release, debugging, observability, and AI-assisted testing practices. Partner with Engineering and Product to resolve complex mobile issues, establish measurable quality standards, improve QA methodologies, and mentor QA engineers.

Leads AI-assisted and agentic testing adoption across engineering teams, designing MCP-based workflows, automated test strategies, validation standards, and machine-readable test cases. Establishes QA methodologies, evaluates emerging testing technologies, measures AI ROI, performs root-cause analysis, and partners with Product, Engineering, Platform, and MLOps teams. Mentors engineers, improves automation and coverage, and communicates quality risks and outcomes to stakeholders.

Leads quality strategy for native iOS and Android applications, designing scalable automated, exploratory, integration, and end-to-end testing. Owns mobile automation frameworks, device and operating system coverage, CI/CD and release quality practices, debugging and observability, and AI-assisted testing workflows. Partners cross-functionally to resolve complex mobile issues, establish measurable quality standards, improve testing methodologies, and mentor QA engineers.

Build and maintain high-quality React Native mobile applications for Krak. Own feature delivery from technical design through release and iteration, create performant and maintainable UI components, write tested code, participate in reviews and design discussions, and collaborate with product, design, frontend, and Rust backend engineers. Contribute to shared components, tooling, code quality, and reliable consumer financial experiences.

Own and advance BI integrations for Excel, Google Sheets, and Looker, including query translation across MDX, DAX, and SQL. Build semantic model converters into SML, resolve customer-reported defects, improve reliability, and expand automated integration and end-to-end testing. Collaborate with product, QA, support, and customers while adapting integrations to changing third-party APIs and analytical platforms.

Architect and maintain end-to-end automated test suites using TypeScript, Node.js, and scripting languages. Test native, cross-platform, and web applications; integrate tests into CI/CD pipelines; validate REST APIs, OAuth authentication, cloud performance, and scalability. Develop internal tooling and conduct manual testing for hardware and software integrations in physical security systems.

Build scalable software systems, internal platforms, tools, APIs, services, and infrastructure using Go and TypeScript. Solve complex architectural problems, support AI-native and agentic systems, work with Azure and AWS, adopt AI-powered development tools, and improve engineering reliability, performance, architecture, and developer experience. Collaborate with distributed technical teams in a fully remote environment.

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.

As a Software Engineer, you'll develop digital experiences, collaborate with teams, and maintain documentation while using modern web technologies.

Own Aleph’s shared AI foundation, including model selection and routing, proxy infrastructure, context management, tool design, and evaluation systems. Ship production agentic features using prompt engineering, caching, parallel tool calls, and subagents. Build observability for agent performance, collaborate with customers and finance experts to define quality standards, and drive adoption of reliable AI systems across product teams.

Own major product surfaces across Aleph’s FP&A platform, leading features from customer discovery through launch and iteration. Build performant spreadsheet-grade interfaces over large financial datasets, design robust data models and APIs, develop AI-native features involving orchestration, tool calls, and retrieval, and improve engineering standards through high-quality code and reviews. The role requires strong full-stack fundamentals, customer engagement, technical leadership, pragmatism, and experience building complex B2B products.

Define the company-wide automation strategy, operating model, governance, architecture, security, observability, and lifecycle standards. Design and implement production-grade AI agents, RAG workflows, integrations, RPA solutions, and scalable AWS deployments while remaining hands-on with coding, reviews, troubleshooting, and production support. Establish responsible AI and LLMOps practices, optimize costs, mentor engineers, and partner with business leaders to deliver measurable efficiency, compliance, reliability, and data-quality improvements.

Design, develop, and own scalable cloud-native enterprise services using Java, Python, Azure, Databricks, microservices, and REST APIs. Apply AI-first development practices to improve engineering productivity, automate repetitive tasks, increase code quality, and streamline delivery. Collaborate with architects, product owners, QA, DevOps, and global engineering teams on architecture, design, code reviews, and Agile planning. Mentor engineers and promote engineering excellence, DevOps adoption, automated testing, and modern software development practices.

Design, build, and maintain full-stack web applications using React, Node.js, C#, and Python. Develop scalable APIs and backend services, work with relational and NoSQL databases, and deploy cloud-native AWS solutions using serverless and event-driven patterns. Create automated tests, manage infrastructure as code, contribute to CI/CD workflows, optimize reliability, promote scalable architecture, and mentor team members.

The Software Engineer II will design and develop software solutions, leveraging accounting expertise to improve financial processes, under fast-paced conditions with team collaboration.