Lionard L.

• Apply specialized knowledge to define the different layers of the architecture, adapting themaccording to the current ("AS IS") andfuture ("TOBE") needs of the company, respecting established principles, guidelines, standards, and artifacts.

• Development and maintenance of systems based on Java and cloud technologies like Azure, including integration of API Gateway, API Management, microservices, Docker, Kubernetes, and CI/CD, using tools like Jenkins.

• Leveraged WSO2 in on-premise environments to manage APIs and integrations, ensuring secure and efficient communication between enterprise systems and services. in a project for afinancial services company, I implemented WSO2 to integrate legacy systems with modern microservices, facilitating a seamless dataflow across departments

• Developing and maintaining CI/CDpipelines using Groovy, which was instrumental in automating build, test, and deployment processes. Groovy scripts were utilized to customize Jenkins pipelines, enabling advanced automationfeatures, such as dynamic configuration of environments, parameterized builds, and complex workflow orchestration

• Design and develop efficient microservices usingjava and Kotlin, focusing on creating robust and scalable systems.

• Implement efficient DevOps practices, facilitating agile deployments through Slack commands, ensuring high levels of code coverage.

• Manage performance and troubleshoot in production environments, using tools like APMfor monitoring and tracing.

• Use Splunk not onlyfor monitoring and diagnosing errors like HTTP, but alsofor deeper analysis, including identifying unusual traffic patterns, diagnosing performance issues, and making informed scalability decisions like increasing instances, etc.

• DeployedAI applications in Docker containers tofacilitate easy packaging, deployment, and scalability.

• Implemented Clean Code and Test-Driven Development (TDD) principles, improving code quality metrics by 40% and reducing bug incidents by 30%.

• We used Java with Spring Boot to develop individually containerized microservices using Docker. For the orchestration of these containers, we employed Kubernetes, whichfacilitated more efficient and scalable deployment (dev, cert, prod).

• In the DevOps realm, I worked closely with the team to optimize our CI/CDpipeline, which uses Jenkins and integrates SonarQubefor static code analysis. This collaboration contributed to improving the development team's efficiency and ensured that the deployed code met quality and security standards.

• Additionally, I participated in the implementation of a Service-OrientedArchitecture (SOA) that facilitated more efficient communication between various microservices and external systems. Depending on the service's needs, we used SOAP and REST protocols to ensure effective and secure communication between services.