Top Software Engineer Jobs in Rio de Janeiro

Design and build scalable backend microservices, chat platforms, conversational interfaces, and web and mobile experiences. Manage cloud infrastructure supporting high-volume real-time messaging, integrate Google Cloud services, and improve chatbot effectiveness through customer feedback and analytics. Collaborate with product, UX/UI, and business teams while mentoring junior developers and applying software architecture best practices. The role requires strong software engineering fundamentals, API experience, adaptability, prioritization, and proficiency in English.

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.

Design and implement robust, reusable payment integration services and libraries within Kraken’s distributed systems architecture. Write clean, testable, efficient backend code, collaborate with Product, Design, and Frontend Engineering, and partner with crypto-native engineers. The role requires debugging across operating system, network, and application layers while working with distributed systems, RPC protocols, Kafka, and event-driven architectures.

Build and modernize production cloud-native applications, initially focusing on .NET Framework, modern .NET, and C#. Collaborate with architects, project managers, software teams, and customers to gather requirements, make technical decisions, and deliver AWS solutions. Develop AI-driven testing and expand into additional languages, frameworks, cloud services, and AI technologies. Support migrations including WebForms to Blazor, Windows Services to Docker/ECS, IIS to Linux, and MSMQ to RabbitMQ.

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.

Build and iterate on full-stack systems powering autonomous 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 for nontechnical users; document findings, share knowledge, and participate in reviews and technical discussions.

Build and operate critical identity services for account creation, management, permissions, and recovery. Architect scalable, resilient backend systems; optimize performance and infrastructure; develop products autonomously; and lead AI-assisted engineering practices. Collaborate with international engineering, UX, and product teams while owning projects from technical design through production operation.

Build and maintain scalable, high-quality full-stack applications for hotel customers worldwide. Collaborate with engineers, managers, and product leaders; write clean JavaScript code using modern front-end frameworks; contribute creative product ideas; mentor engineers; participate in code reviews; advise on technical decisions; and independently execute projects while maintaining strong operational excellence.

Leads end-to-end design and delivery of production conversational AI applications using Omilia. Coordinates developers, QA, and integration engineers; translates business requirements into agentic solutions; manages backlogs, quality, KPIs, escalations, and human handoffs; and advises clients and stakeholders on technical decisions, capabilities, risks, and improvements.

Build and architect Alpaca’s high-performance algorithmic trading platform. Responsibilities include writing backend and frontend code, designing distributed and highly available systems, optimizing low-latency and high-throughput performance, and developing scalable databases, messaging systems, concurrency controls, and service-oriented architectures. The role also involves making critical platform decisions and potentially contributing to order and risk management, trading systems, observability, cloud infrastructure, and financial ledger capabilities.

Build and own backend services that move money across global markets. Design distributed systems and REST/gRPC APIs in Go, make architectural decisions, and work with Kubernetes, AWS, Temporal, PostgreSQL, and Kinesis. Projects include instant funding, international settlement, stablecoin-funded brokerage infrastructure, and scaling microservices across custody, trading, and portfolio management. The role requires autonomy, strong engineering fundamentals, reliable production delivery, and collaboration with operations, compliance, and legal teams.

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.

Develop and modernize PHP APIs, services, and a React Native mobile application while maintaining a legacy vanilla PHP web platform. Responsibilities include shipping mobile features, debugging production issues, resolving defects, improving performance and reliability, analyzing logs and monitoring data, collaborating with Product, QA, and Support, and applying testing, code review, CI/CD, and AI-assisted development practices.

Build and integrate LLM-powered software into enterprise systems. Design autonomous AI agents, tool-calling systems, and multi-step orchestration workflows using MCP or equivalent interfaces. Develop scalable backend architectures with REST/gRPC APIs, optimize context management, implement reliability patterns, and support systems from rapid prototyping through production. Collaborate in English with distributed teams during Central Time hours.

Supports system migration and modernization initiatives, configures platform solutions, develops Bash automation scripts, manages GitHub source control, performs testing and QA, analyzes system data, documents technical processes, and collaborates with engineering, operations, and business teams.

Design and build reliable, scalable backend services, search APIs, semantic and lexical search systems, and platform components serving millions of users. Collaborate with engineering, product, and QA teams to translate requirements into solutions, while improving observability, monitoring, alerting, and operational readiness. Support multi-region systems using CI/CD, infrastructure as code, containers, high availability, and disaster recovery practices.

Build and maintain high-performing, scalable enterprise applications using Next.js and JavaScript. Responsibilities include requirements analysis, estimation, full lifecycle development, risk communication, code reviews, testing, defect prevention, and researching new technologies. The role requires collaboration with project managers, clients, and engineering teammates in a remote environment, with an emphasis on open source, technical expertise, and AI-enabled solutions.

Design and build scalable backend microservices, chat platform components, conversational interfaces, and web and mobile user experiences for a high-volume remittance platform. Manage cloud infrastructure and real-time messaging systems using Google Cloud services. Collaborate with product, UX/UI, and business teams, mentor junior developers, and improve chatbot effectiveness through customer feedback and analytics. Candidates need strong software engineering fundamentals, web services experience, and familiarity with modern architecture and deployment practices.

As a Software Engineer in the Platform team, you will design and maintain APIs, enhance API performance, collaborate on B2B solutions, and align backend architecture with product strategy.

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.