## Responsibilities:Microservices Architecture & Cloud Engineering: Developed microservices-based architectures for payment processing SDKs in iOS and Android using .NET and Java, Python and TypeScript for Lambda microservices, ensuring seamless integration with cloud environments. Focused on designing scalable, cloud-native solutions to enhance the system's flexibility and performance.Cloud Architecture & AWS Optimization: Architected and optimized a highly scalable AWS… Show more ## Responsibilities:Microservices Architecture & Cloud Engineering: Developed microservices-based architectures for payment processing SDKs in iOS and Android using .NET and Java, Python and TypeScript for Lambda microservices, ensuring seamless integration with cloud environments. Focused on designing scalable, cloud-native solutions to enhance the system's flexibility and performance.Cloud Architecture & AWS Optimization: Architected and optimized a highly scalable AWS infrastructure, leveraging services such as EC2, S3, RDS, and Lambda to maintain a 99.99% uptime SLA for a payment processing platform. Successfully led efforts in migrating to containerized environments using EKS, improving resource utilization and deployment agility by 25%.CI/CD & Infrastructure Automation: Spearheaded CI/CD pipelines using Jenkins and GitLab CI to streamline development processes, automating builds, testing, and deployments for cloud-based applications. Implemented Infrastructure as Code (IaC) through AWS CloudFormation and Ansible, enabling consistent infrastructure provisioning across multiple cloud environments.Cloud-Native Machine Learning Integration: Developed and integrated machine learning models into cloud architectures for fraud detection, leveraging AWS, enhancing security and compliance within cloud-based payment platforms.Cloud Monitoring & Reliability Engineering: Established comprehensive monitoring strategies with AWS CloudWatch to ensure proactive management of system reliability, achieving high availability and rapid resolution of cloud operation issues.## Technologies Used: *Languages: Java, Kotlin, Python, TypeScript, C#, .NET *Clouds & CI/CD: AWS (EC2, S3, RDS, Lambda, CloudFormation), Jenkins, GitLab CI *Machine Learning: Amazon Fraud Detector Show less

##Responsibilities:Cloud-Native Payment Solutions: Led the architecture and deployment of cloud-based SDKs to support secure payment integration for mobile platforms. Leveraged AWS Lambda, Cognito, and S3 to build scalable, cloud-native solutions that ensured high availability and robust security, reducing latency by 30% for mobile transactions.E-commerce Architecture & API Integrations: Designed and implemented key e-commerce features, including payment processing and API… Show more ##Responsibilities:Cloud-Native Payment Solutions: Led the architecture and deployment of cloud-based SDKs to support secure payment integration for mobile platforms. Leveraged AWS Lambda, Cognito, and S3 to build scalable, cloud-native solutions that ensured high availability and robust security, reducing latency by 30% for mobile transactions.E-commerce Architecture & API Integrations: Designed and implemented key e-commerce features, including payment processing and API integrations, to guarantee seamless operation across mobile platforms, emphasizing scalability and cloud-native solutions.AWS Cloud Infrastructure Management: Managed and optimized AWS cloud infrastructure, leveraging services such as Lambda, Cognito, AppSync, S3, and EC2. Ensured high availability, security, and performance across all deployed solutions.Real-Time Data Processing: Implemented Argo Workflows to orchestrate and automate workflows for processing large volumes of real-time transaction data. Integrated Apache Kafka, Redis, and Apache Flink for high-performance stream processing, supporting machine learning models for fraud detection.CI/CD Pipeline Design & Automation: Architected and automated CI/CD pipelines using Fastlane, AWS CodePipeline, and Terraform, focusing on streamlined deployments and robust integration with cloud services reducing deployment time by 30% and eliminating manual errors.(IaC) & Automation: Implemented and managed cloud infrastructure using Terraform and Ansible, enabling scalable, repeatable, and reliable deployments in cloud environments.Monitoring & System Optimization: Set up comprehensive monitoring and logging solutions using AWS CloudWatch and Grafana reducing incident response time by 50% and ensuring 99.99% uptime.##Used:AWS (Lambda, Cognito, AppSync, S3, EC2, RDS, Aurora, Redis, EKS), Argo Workflows, Apache Kafka, Flink, Terraform, Java, Kotlin, Python, Fastlane, CodePipeline, Terraform, Ansible, GraphQL, Algolia, Grafana, Loki Show less

## Responsibilities:Cloud-Native Architecture & Microservices: Designed and implemented a microservices architecture on AWS, utilizing EKS and ECR to enhance scalability and optimize resource allocation. Led the migration from monolithic structures to containerized environments, improving performance and reducing deployment times by 20%.Real-Time Data Processing: Implemented Argo Workflows to orchestrate complex workflows for processing large volumes of real-time financial… Show more ## Responsibilities:Cloud-Native Architecture & Microservices: Designed and implemented a microservices architecture on AWS, utilizing EKS and ECR to enhance scalability and optimize resource allocation. Led the migration from monolithic structures to containerized environments, improving performance and reducing deployment times by 20%.Real-Time Data Processing: Implemented Argo Workflows to orchestrate complex workflows for processing large volumes of real-time financial transactions. Integrated Apache Kafka and Redis for real-time event processing, and Apache Flink for stream data analytics. These tools enabled scalable, fault-tolerant processing pipelines that powered fraud detection systems.CI/CD Pipeline Automation: Architected and managed CI/CD pipelines using AWS CodePipeline and Fastlane, automating build, test, and deployment processes. Streamlined feature releases by reducing manual intervention and ensuring rapid, consistent deployments.Security & Compliance in Cloud: Spearheaded compliance initiatives, including LGPD and PIX integration, ensuring cloud infrastructure adhered to industry regulations. Automated security checks and monitoring using Terraform and Grafana, reducing incident response times and enhancing system reliability.Monitoring & Performance Optimization: Deployed proactive monitoring solutions with AWS CloudWatch and Grafana, ensuring high availability and efficient resource usage. Implemented optimizations that resulted in a 30% improvement in system performance while maintaining compliance standards.##Technologies Used:Cloud & Mobile: Python, Typescript, Java, Kotlin, AWS (Lambda, Cognito, AppSync, S3, EC2, EKS, ECR, EFS), Argo Workflows, Apache Kafka, Flink, Terraform, FastlaneCI/CD & DevOps: CodePipeline, Terraform, Ansible, JenkinsAPIs & Monitoring: GraphQL, API Gateway, Grafana, Loki Show less

## Responsibilities:Microservices Development for Mobile Platforms: Led the design and development of backend components using a Java-based microservices architecture, enhancing scalability and maintainability. Developed and integrated RESTful APIs and endpoints to support mobile applications on iOS and Android, ensuring seamless functionality.Government Agency Integration: Managed secure and reliable integrations with various government agencies, facilitating efficient data… Show more ## Responsibilities:Microservices Development for Mobile Platforms: Led the design and development of backend components using a Java-based microservices architecture, enhancing scalability and maintainability. Developed and integrated RESTful APIs and endpoints to support mobile applications on iOS and Android, ensuring seamless functionality.Government Agency Integration: Managed secure and reliable integrations with various government agencies, facilitating efficient data exchange. Administered Azure cloud infrastructure to optimize resources for performance and compliance with regulatory standards.Cloud Infrastructure Management and Automation: Oversaw the administration of Azure cloud services, focusing on the deployment and management of virtual machines, databases, and networking components. Implemented automation scripts to streamline operations, improve efficiency, and enhance infrastructure reliability.Proactive Monitoring and Troubleshooting: Established comprehensive monitoring solutions to track system logs and metrics, proactively identifying and resolving issues. Automated routine tasks to minimize manual intervention and increase operational effectiveness.## Technologies Used: * Backend Development and Microservices: Python, Typescript, Java, Kotlin, Spring Boot, RESTful APIs, Docker, Kubernetes, Azure ( VMs, Storage, SQL Database, Networking) * Cloud and Infrastructure: Azure DevOps, Terraform, Ansible, Kubernetes, Docker, Azure Services (App Services, Functions, Storage, SQL Database) * CI/CD and Automation: Jenkins, Azure DevOps, Terraform, Ansible * Monitoring and Logging: Azure Monitor, Application Insights, Log Analytics, Prometheus, Grafana * Integration and Security: OAuth 2.0, JWT, Azure Active Directory, API Management Show less

## Responsibilities:Development of Fiscal Inspection Applications: Led the design and development of applications and services for fiscal inspection, leveraging a microservices architecture to ensure scalability and maintainability. Developed robust RESTful APIs for seamless integration with various data sources and government systems.Microservices and System Creation: Spearheaded the creation of microservices that facilitate efficient data processing and reporting for fiscal… Show more ## Responsibilities:Development of Fiscal Inspection Applications: Led the design and development of applications and services for fiscal inspection, leveraging a microservices architecture to ensure scalability and maintainability. Developed robust RESTful APIs for seamless integration with various data sources and government systems.Microservices and System Creation: Spearheaded the creation of microservices that facilitate efficient data processing and reporting for fiscal compliance. Collaborated with cross-functional teams to ensure the alignment of system design with business requirements and regulatory standards.CI/CD Implementation: Implemented Continuous Integration and Continuous Deployment (CI/CD) pipelines using Microsoft App Center and Azure DevOps. Automated build, test, and deployment processes, resulting in faster release cycles and improved software quality.Azure Infrastructure Administration: Managed and optimized Azure cloud infrastructure, including the deployment and management of virtual machines, databases, and networking components. Ensured high availability and security of cloud resources, while adhering to best practices for cost management and performance optimization.Proactive Problem Resolution and Monitoring: Actively resolved daily operational issues, leveraging log monitoring and analysis to identify and troubleshoot problems promptly. Set up comprehensive monitoring solutions to track system performance, enabling proactive management of cloud resources.Script Automation for Operational Efficiency: Developed and maintained automation scripts to streamline routine tasks, reduce manual intervention, and enhance overall operational effectiveness within the cloud environment.## Technologies Used: Python, Java, C#, .Net, C++, NodeJS, Express, Azure, Spring (boot, core, data, security), SQL Server, BitBucket, Azure Full Show less

- Worked on the development of a system with routines very similar to that of an ERP, a little smaller, which integrated with airlines for booking and generating travel codes from the system. Integration with airline companies to consult and book airline tickets based on customer needs. After-sales customer treatment (CRM) system to check the possibility of other a posteriori trips.- Developed integrations between systems to improve and increase the capacity of communication with the… Show more - Worked on the development of a system with routines very similar to that of an ERP, a little smaller, which integrated with airlines for booking and generating travel codes from the system. Integration with airline companies to consult and book airline tickets based on customer needs. After-sales customer treatment (CRM) system to check the possibility of other a posteriori trips.- Developed integrations between systems to improve and increase the capacity of communication with the clients, increase the profit by selling more, and keep the client's fidelity. - Used: Java Spring (Core, Data, Security), SQL Server, and Oracle. Show less