Top Software Engineer Jobs in Brazil

Seeking a Senior Software Engineer to design, develop and deliver high-quality backend features, mentor teammates, and work across various teams to solve customer problems.

Build LLM-based AI agents for hardware design verification, integrate agents with enterprise platforms, and develop testing, safety, and human-in-the-loop mechanisms to improve reliability and prevent hallucinations. The role requires Python development, AI orchestration frameworks, prompt engineering, RAG, vector databases, Unix, and fluency in English and Portuguese. Preferred experience includes version control, C++, TCL, design verification, EDA, VLSI, Verilog, and VHDL.

Develop and maintain AI-enabled tools, automation, services, and workflows for hardware systems verification engineering teams. Integrate LLMs, agents, retrieval systems, and AI capabilities with internal infrastructure, repositories, knowledge sources, and enterprise platforms. Build secure environments with guardrails and access controls to protect proprietary data. Support engineering users and improve productivity through responsible AI adoption.

Evaluate AI coding agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and user trust. Provide clear written and recorded feedback, distinguish response quality levels, and help define standards for tools such as Codex, Claude Code, and Cursor. This flexible remote contract requires senior-level engineering experience, strong TypeScript/JavaScript or Python skills, familiarity with AI-assisted development workflows, and excellent English communication.

Build and maintain Go backend services for SumUp’s lending platform. Improve observability and monitoring, write integration tests, support regulatory adaptations, implement loan repayment flows, and investigate production incidents. The role requires autonomous technical decision-making, balancing delivery speed with system stability, and scaling a regulated, high-stakes platform across international markets.

Build and operate production AI infrastructure powering intelligent agents at scale. Develop high-performance Rust services for model inference, orchestration, and execution; design scalable distributed systems; establish MLOps, observability, guardrails, and failure recovery; and optimize latency, throughput, reliability, and cost. Partner with agent systems and infrastructure teams to turn prototypes into hardened services serving millions of users.

Develop, test, validate, deploy, and debug firmware for Cadence’s highly parallel Palladium hardware emulation system. The role contributes to R&D for next-generation emulation platforms, creates debugging tools for system failures, and provides customer support. Responsibilities require object-oriented programming, advanced data structures and algorithms, C++ or Python, Linux and Unix environment management, and collaboration with global engineering teams.

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 and implement backend services, modernize legacy systems into microservices, ensure strong testing and production observability, and collaborate with Product and Engineering teams. The role requires independent project ownership, strong system design, AI-assisted development using tools such as Claude or Cursor, effective communication with nontechnical stakeholders, and adaptability in an ambiguous, fast-changing environment.

Software Developer Interns will contribute to backend services, desktop applications, automation, tooling, and integrations. Responsibilities include writing maintainable code, participating in code reviews, creating automated tests, troubleshooting defects, documenting technical work, and collaborating with global Agile teams. The role provides mentorship and practical experience with version control, pull requests, CI, debugging, and iterative software delivery.

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.

Build and own Caliza’s real-time financial dashboard using TypeScript and React. Develop transaction tables, balances, reports, search, filtering, exports, permissions, and data-heavy interfaces. Integrate back-end APIs, contribute to Kotlin and Spring Boot services, optimize performance, implement accessibility and security practices, write automated tests, and collaborate with product, design, compliance, and engineering teams.

Build and own accounting and treasury backend systems, including double-entry ledgers, reconciliation across banks and stablecoin wallets, FX and financing instruments, liquidity tooling, audit trails, and resilient money movement services. The role requires Kotlin/Spring Boot development, distributed-systems expertise, exact decimal arithmetic, idempotency, message-driven architecture, thorough testing, and close collaboration with finance, compliance, and payment operations teams.

Own and evolve Caliza’s AWS and Kubernetes infrastructure, deployment pipelines, observability, managed services, access controls, disaster recovery, and incident response. The role also writes production application and infrastructure code, improves payment-system reliability, supports compliance and audit readiness, optimizes cost and performance, and partners with engineering and security teams in a remote startup environment.

Ensures software quality through manual and automated testing, including functional, regression, integration, exploratory, compatibility, and end-to-end testing. Develops test plans, cases, automation frameworks, defect reports, and CI/CD integrations. Analyzes logs and failures, troubleshoots APIs, network protocols, and services, and collaborates on design and code reviews. Uses AI-assisted tools for test generation, debugging, documentation, and process improvement.

Develop and maintain software features for Cadence’s ATPG/DFT and fault emulation products. Responsibilities include requirements definition, C++ development, unit and regression testing, static analysis, performance evaluation, code reviews, bug fixing, refactoring, and customer deployment support. The role collaborates with product engineering, validation, and application engineering teams in a hardware verification and electronic design automation environment.

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.

Design, build, and optimize a multi-region, highly-available Java/Scala microservices data pipeline processing thousands of messages/sec. Improve performance, implement fraud-detection pipelines with ML (Kafka/Kafka Streams), deploy to multi-cloud Kubernetes, and push frequent production releases to maintain five-nines uptime.

Develop and maintain a large-scale test automation platform for real-time communication and VoIP systems. Build Java services, debug C/C++ components on Linux, manage Dockerized multi-service environments, and troubleshoot application, networking, protocol, and container issues. Contribute to CI/CD, testing, documentation, and code reviews while supporting load and functional testing for thousands of concurrent users and calls.

Leads mobile software architecture and technical strategy at global scale. Designs foundational components, frameworks, and libraries; writes production code; resolves performance and scalability challenges; establishes engineering standards; mentors experienced engineers; and improves mobile development tools, infrastructure, and practices across teams.

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.

Build and maintain backend distributed systems supporting high-throughput data review and annotation workflows. Design reliable, observable, secure systems with fine-grained access controls, auditable workflows, clean APIs, and resilient failure recovery. Collaborate with product, machine learning, and operations teams to improve feedback loops, participate in architecture decisions, and write well-tested maintainable code.