Desarrolador JAVA con IA como GitHub o Copilot
The developer will be responsible for analyzing and programming Java-based solutions. The role requires integrating AI tools like GitHub Copilot into the development workflow.
Remote Software Development Jobs in Brazil
Browse 2,626 remote software development jobs in Brazil, with 235 added this week. You'll see openings like Full Stack Developer, Software Engineer and Backend Engineer.
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The developer will be responsible for analyzing and programming Java-based solutions. The role requires integrating AI tools like GitHub Copilot into the development workflow.
The Azure Cloud Architect will design and implement scalable, secure cloud-native solutions while partnering with development and DevOps teams. They are responsible for monitoring cloud performance, optimizing costs, and providing technical leadership to ensure adherence to engineering best practices.
You will develop and maintain critical EDA environments, toolchains, and methodologies to support silicon development and tape-out processes. Additionally, you will provide technical support for Linux systems, design tools, and circuit designers while automating design tasks.
The architect will design and implement scalable ServiceNow ITSM solutions while defining platform standards and governance. They are responsible for leading workflow automation, CMDB data quality initiatives, and managing enterprise-wide integrations.
You will lead the implementation of a comprehensive test automation strategy using AI to enhance software quality and developer productivity. This involves collaborating with cross-functional teams to integrate automated testing into CI/CD pipelines and maintaining robust test coverage across the development lifecycle.
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You will build and integrate AI-powered features into production products while developing LLM-based applications using agents and RAG. Additionally, you will design AI pipelines and evaluate model performance to ensure high-quality, scalable solutions for millions of users.
Responsible for developing, testing, and maintaining software components and modules to meet client requirements. Integrates components into team projects and performs both corrective and evolutionary maintenance to ensure system functionality.
You will design, build, and maintain highly available cloud infrastructure on Azure using Kubernetes and Terraform. Additionally, you will implement advanced CI/CD pipelines and observability strategies to ensure the security and performance of production services.
You will build and maintain scalable analytical models and data pipelines within the AWS cloud environment to support the VTEX Ads platform. Additionally, you will collaborate with product and data science teams to translate business requirements into reliable data products and actionable insights.
The QA Automation Engineer will ensure quality throughout the development lifecycle by defining test strategies, automating UI and API tests, and preventing defects. They will also collaborate with cross-functional teams to troubleshoot production issues and maintain high standards of reliability and performance.
The Computer Vision Engineer will design, develop, and deploy machine learning solutions to interpret visual data such as images and video streams. They will collaborate with cross-functional teams including data scientists and software engineers to build scalable, production-ready systems.
The role involves developing scalable backend services and integrating Generative AI models, including RAG architectures, into production environments. You will be responsible for writing clean, efficient code, optimizing server performance, and collaborating on technical documentation and code reviews.
Develop and maintain automated test scripts for web applications while performing manual functional and regression testing. Collaborate with developers and product owners to integrate automated tests into CI/CD pipelines and ensure high software quality.
You will independently own a component or slice of the platform, making technical decisions and ensuring system health in production. You are expected to turn business requirements into technical plans and mentor other engineers to raise the team's overall performance.
The Pre-Sales Solutions Architect will manage the integration of security products into client environments and lead technical proof of concepts. They will collaborate with sales teams to identify client needs and provide ongoing third-level technical support to partners.
The Data Product Manager will own the full lifecycle of Finance Analytics products, translating financial business rules and stakeholder needs into actionable requirements for technical teams. They will also coordinate monthly financial closing processes, manage functional backlogs, and lead investigations into financial anomalies.
Design, develop, and maintain scalable ETL/ELT data pipelines and cloud-native data solutions using Python, PySpark, and Snowflake. Collaborate with cross-functional teams to optimize data performance, ensure data quality, and implement robust data governance practices.
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The developer will design, build, and maintain custom Salesforce solutions using Apex and Lightning Web Components. They will also collaborate with architects and stakeholders to implement integrations and ensure high code quality through testing and CI/CD workflows.
The consultant will lead end-to-end Salesforce implementations and enhancements for Sales and Service Cloud environments. They are responsible for translating business requirements into scalable solutions, configuring platform features, and coordinating with stakeholders for successful delivery.
Design and lead end-to-end AI system architectures across enterprise environments, including LLM applications and RAG systems. Establish governance, security, and performance standards while guiding engineering teams through implementation.
The role involves designing, deploying, and maintaining scalable machine learning systems in production environments. You will collaborate with cross-functional teams to operationalize models, build robust data pipelines, and implement MLOps best practices.
Design, build, and maintain automated testing frameworks for web applications and APIs while integrating them into CI/CD pipelines. Collaborate with cross-functional teams to improve test coverage, document defects, and ensure high-quality software delivery.
Design, develop, and maintain scalable backend services and REST APIs while ensuring system performance and security. Collaborate with cross-functional teams to build event-driven microservices and integrate with cloud-native architectures.
Design and build scalable data pipelines to support machine learning workflows, including feature engineering and real-time data ingestion. Collaborate with cross-functional teams to ensure data quality, monitoring, and efficient model deployment.
Design and build scalable data pipelines while optimizing transformation workflows in Snowflake or Databricks. Collaborate with cross-functional teams to ensure high-quality, performant, and secure data systems for analytics and reporting.
Design, automate, and manage scalable cloud infrastructure across AWS, Azure, or GCP environments. Collaborate with engineering teams to build CI/CD pipelines, implement Infrastructure as Code, and ensure high-availability production systems.
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The Lead Data Architect will define and evolve enterprise-wide data architecture standards and roadmaps to support analytics and operational needs. They will oversee the design of scalable data platforms, including data lakes and warehouses, while ensuring robust data governance and security compliance.
Design and implement scalable Infrastructure as Code using Terraform and Ansible to automate cloud provisioning. Integrate infrastructure tasks into CI/CD pipelines while enforcing security, compliance, and system reliability standards.
Design, implement, and maintain scalable cloud infrastructure and deployment pipelines across AWS, Azure, or GCP. Collaborate with engineering teams to streamline CI/CD processes, improve system resilience, and manage containerized workloads.
The roles involve designing, building, and maintaining scalable data pipelines, cloud infrastructure, and analytical dashboards to support business decision-making. Responsibilities also include ensuring data quality, automating infrastructure, and collaborating across technical and business teams.
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The average salary for remote software developers in Brazil is $112,267 per year. This is based on data from 15 job openings. We use the yearly salaries in US dollars from these job postings to calculate salary expectations. Below is a breakdown of salary data by years of experience:
| Experience | Salaries counted | Average salary |
|---|---|---|
| Junior2–5 years | 6 | $93,333 |
| Senior5–10 years | 8 | $123,813 |
We reviewed 469 job postings for remote software developers in Brazil and found these are the skills employers ask for most often:
| Skill | Share of job posts |
|---|---|
| Python | 37% |
| CI/CD | 33% |
| SQL | 28% |
| AWS | 23% |
| Kubernetes | 20% |
| Git | 18% |
| Microservices | 16% |
| TypeScript | 16% |
| Java | 15% |
| Docker | 14% |
Learn more about Software Development remote jobs