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Develop high-performance cloud and container technologies primarily with Python. Build reliable solutions, write unit tests, troubleshoot testing and integration issues, and participate in agile development. Collaborate on containerization, virtualization, networking, and fault-tolerant orchestration platforms supporting private cloud, 5G, and distributed edge deployments. Administer Kubernetes clusters and use Docker, Helm, Git, GitLab, and Jira across remote teams.

Develop and maintain automated tests for telecom and embedded platforms using Python and Robot Framework. Validate SIP signaling and voice protocols, analyze network traffic with Wireshark, execute functional and integration testing, investigate failures, identify defects, and support root cause analysis. Create test cases, test plans, and automation scripts while collaborating with development and QA teams across Brazil and the United States.

Assess private cloud platform performance by defining KPIs, evaluating system limits, executing load and scalability experiments, and tracking regressions across releases. Develop Python automation, test workloads, performance measurement pipelines, and reporting tools. Analyze metrics, logs, traces, and resource utilization across distributed Linux systems, troubleshoot anomalies, and provide insights for architecture, capacity planning, and release readiness. Support a highly available private cloud platform for 5G and edge computing.

Design, build, and maintain production-grade DBT data models and governed data domains on Azure Databricks. Develop scalable Delta Lake solutions using Unity Catalog and Medallion Architecture, implement data quality frameworks, and manage Terraform infrastructure. Collaborate through Git, pull requests, code reviews, and CI/CD workflows, leveraging AI-assisted development tools. Curate semantic data assets for self-service analytics, support modernization initiatives, establish engineering standards, and partner with stakeholders to deliver reliable data products.

Lead a data engineering squad delivering strategic, low-latency data products on Azure. Responsibilities include designing data architectures, building Python REST APIs and Databricks/dbt pipelines, implementing Terraform infrastructure, ensuring data quality and observability, driving CI/CD, resolving production issues, and mentoring engineers. The role requires hands-on technical leadership, advanced data modeling and SQL expertise, and collaboration with business and technical stakeholders.

Design and guide enterprise-scale, cloud-native solutions leveraging software engineering and AI. Provide technical leadership across SDLC, design mobile/cloud apps, integrate via APIs and data services, implement CI/CD and release/configuration practices, and architect end-to-end ML pipelines for cloud and edge deployment while aligning solutions with business objectives.

Design and maintain CI/CD pipelines and infrastructure-as-code, collaborate with development and operations teams, implement provisioning and automation using Terraform/Helm/Ansible, manage Jenkins/TeamCity/Octopus pipelines, containerize and orchestrate workloads with Docker and Kubernetes, and follow Agile processes.

Design, develop, and test EDI inbound/outbound maps per client specifications; create test data, perform unit testing, troubleshoot translation logs, and coordinate with EDI analysts and stakeholders.

Design, implement, and maintain fullstack Java applications within a Scrum team; perform code reviews; ensure high code quality and adherence to design principles (TDD, YAGNI); deploy to cloud/on-prem using containers and CI/CD; work with relational and NoSQL databases; apply GenAI knowledge where relevant.

The DB2 DBA is responsible for optimizing SQL queries, assisting in database design, troubleshooting issues, supporting database changes, monitoring performance, and guiding application developers on best practices.