frontend developer English-speaking jobs in Macedo de Cavaleiros

Lead and manage IT infrastructure, security, and digitalization initiatives for a remote-first company. Expertise in Microsoft 365, endpoint management, cloud services, and automation frameworks is required. Proven leadership and communication skills are essential.

Senior Machine Learning Engineer will design and implement machine learning solutions across multiple projects. Expertise in ML algorithms, deep learning, and foundation models is required. Responsibilities include understanding business objectives, developing models, leading client communications, and deploying, maintaining, and upgrading ML models.

Data Operations & Reporting Associate needed for a global wealth management firm. The role involves processing investment data, performing portfolio reconciliations, analyzing performance, and preparing client reports. Requires 5+ years of experience in investment performance analysis, portfolio reporting, or operations within wealth management. Proficiency in VBA, Python, Power BI, Excel, and Addepar is essential. Fluent in Portuguese and English required.

Senior Software Developer with expertise in Java, Spring, and AWS. Designs, develops, and maintains backend services and APIs. Experience with Terraform, Python, and relational databases required. Collaborates with data engineers and cross-functional teams.

QA Engineer will design and execute automated tests, perform planned and exploratory tests, and document testing results to ensure software quality and reliability.

Senior Software Engineer to design, maintain, and contribute to backend services using PHP, Laravel, Eloquent, GraphQL, and Microsoft SQL Server. Collaborate with stakeholders and developers to deliver data-driven solutions.

Data Analyst will design and implement a data integration solution using APIs and data virtualization to improve data accessibility and quality. The role involves gathering requirements, developing dashboards, and validating the solution with end-users.

Design, implement, and deploy machine learning models and systems. Participate in the full machine learning development lifecycle. Translate business requirements into machine learning solutions.

Assist in the setup, governance, and maintenance of master data in SAP, including material master, vendor master, and customer master records. Support data cleansing, data migration, and validation activities during SAP implementations or upgrades. Ensure master data integrity and alignment with logistics processes. Collaborate with logistics and supply chain teams to understand their master data needs and ensure proper integration into SAP systems. Support logistics modules (e.g., SAP MM, SAP SD, SAP WM/EWM) with accurate master data configurations. Identify and resolve issues related to logistics master data. Work with clients and internal stakeholders to gather requirements, document processes, and provide training on SAP MDM tools and processes. Offer support and troubleshooting for logistics-related MDM issues. Contribute to the development of master data governance frameworks and policies for logistics. Identify opportunities to streamline master data workflows to improve efficiency in logistics operations.

Lead Full-Stack Engineer to architect, guide best practices, and ship features across web, mobile, and backend. Collaborate with founding team to build AI agent workflows, automation systems, and real-time career insights. 5+ years full-stack experience (React, Node.js, REST APIs) required.

Data Engineer with 3+ years of experience needed. Must have Python/PySpark, Azure cloud, Databricks, Azure Data Factory, SQL, and Scrum/Kanban experience.

As a Google DLP Subject Matter Expert, you will design, implement, and optimize DLP policies across various Google Cloud services. You will serve as a go-to expert on Google Cloud DLP, providing guidance to technical teams and stakeholders. You will also conduct security assessments, troubleshoot incidents, and stay current with evolving data protection regulations.

Provide Tier 2/3 application support, including troubleshooting and deployments across environments. Automate tasks using GitLab and Ansible; participate in release reviews. Support observability tools on OpenShift and contribute to Grafana Central migration. Collaborate with teams to resolve issues and ensure platform stability.

Senior Frontend Developer will architect, design, and implement client-side logic for a new software platform. Responsibilities include developing and maintaining frontends, collaborating with stakeholders, and ensuring seamless integration with backend components. Requires 5+ years of experience, deep understanding of web technologies, and proficiency with TypeScript, React, and testing stacks. Experience with AI-assisted development tools and responsible AI usage is beneficial.

Senior SuccessFactors Integration Specialist needed to design, implement, and maintain integrations between SAP SuccessFactors and external systems. Requires 5-8 years of experience, SAP Certified Associate – Integration Developer (C_CPI) certification, and expertise in API design, middleware platforms, and integration concepts.

PwC seeks Transaction Services Consultants & Senior Consultants to support investment or divestment decisions for clients. Responsibilities include financial and operational due diligence, analyzing trends, preparing reports, and interacting with various teams. Candidates should have a degree in a relevant field, 2+ years of experience in financial auditing, due diligence, or related functions, strong analytical skills, and advanced Excel proficiency.

Product Manager needed to manage the EU product lifecycle from development to launch. Responsibilities include initiating product files, solving issues with internal teams, gathering market input, and collaborating with various departments.

QA Specialist with 3+ years of experience in test activities, fluent in French and English, to contribute to the design and execution of tests within agile projects for a leading multinational in the insurance and financial services sector.

Accenture seeks Data Engineers to design, develop, and maintain data solutions. Applicants must have experience in Python and SQL. Responsibilities include building data pipelines, optimizing ETL/ELT processes, and collaborating with teams to implement solutions.

Provides technical support and troubleshooting for client advertising products across email and chat channels. Drives customer satisfaction and service quality through case resolution and collaboration with internal teams.