• Architect and develop .NET systems with a focus on performance and scalability; • Collaborate with multidisciplinary teams on the design and implementation of solutions; • Maintain and evolve existing systems following engineering best practices; • Integrate systems with AWS services; • Contribute to the continuous improvement of team processes and practices.

• Design, develop, and maintain data ingestion and transformation pipelines in an Azure Data Lakehouse. • Build solutions using Azure Databricks with PySpark and SQL for data processing and modeling. • Implement and evolve integration and orchestration pipelines using Azure Data Factory. • Perform data audits, validations, and reconciliations using advanced SQL queries. • Monitor pipeline executions, logs, and performance, proposing improvements for performance, architecture, and cost. • Document pipelines, data flows, and architecture following corporate standards. • Work on integration across multiple data sources and environments. • Ensure best practices in data governance, quality, and security.

• Design, build, and maintain secure, scalable, and cost-effective cloud infrastructure supporting global SaaS platforms. • Collaborate with software engineering, architecture, product management, and cybersecurity teams to deliver robust cloud solutions. • Lead and contribute to the modernization of cloud infrastructure and platform services. • Implement Infrastructure as Code (IaC) and automation to improve deployment consistency, speed, and reliability. • Support and optimize cloud-native applications to ensure high availability, performance, and scalability. • Define and promote cloud engineering best practices, standards, and governance across teams. • Enhance platform reliability, security, and operational efficiency through proactive engineering and continuous improvement. • Monitor, troubleshoot, and resolve complex cloud infrastructure and application issues in production environments. • Drive improvements in CI/CD pipelines, automation workflows, and release processes. • Collaborate with cybersecurity teams to implement and maintain strong security controls and compliance standards. • Evaluate and introduce new cloud technologies and tools to improve platform capabilities and efficiency.

• Build, maintain, and optimize secure, scalable AWS infrastructure supporting production applications • Design and implement Infrastructure as Code using Terraform, Terragrunt, Ansible, and related automation tools • Develop and maintain CI/CD pipelines to enable reliable and automated software delivery • Manage containerized workloads using Kubernetes, Docker, and Helm • Improve system observability by implementing monitoring, logging, and alerting solutions • Troubleshoot infrastructure and production issues, performing root cause analysis and implementing long-term improvements • Collaborate closely with software engineers to integrate DevOps best practices throughout the development lifecycle • Optimize cloud infrastructure for performance, reliability, security, and cost efficiency • Leverage AI coding assistants to accelerate infrastructure development, automation, and operational troubleshooting