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Schedule Interview NowMy name is Alberto L. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Kubernetes, G-Cloud, DevOps, MLOps. I hold a degree in Bachelor of Engineering (BEng), Master's degree. Some of the notable projects I’ve worked on include: Kubernetes and Helm charts, Container Orchestration with Kubernetes, CI/CD Pipeline Implementation. I am based in Cartagena, Colombia. I've successfully completed 3 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
3 years
1 Year
1 Year
1 Year
Potentially possible
Globant
- Deployed EKS cluster using Terraform - Deploy ArgoCD and other Kubernetes controllers into the EKS cluster - Create helm charts for applications - Manage lifecycle of applications with ArgoCD and Helm Charts
- Define project goals and objectives: Understand the client's requirements and what they aim to achieve with Kubernetes container orchestration. - Determine project scope: Decide which applications and services will be containerized and orchestrated with Kubernetes. - Identify key stakeholders: Establish clear communication channels with developers, operations teams, and other relevant parties. - Work closely with developers to containerize applications using technologies like Docker. Ensure that containers are well-structured and have clear documentation. - Create Dockerfiles for each application, specifying dependencies and configurations. - Deploy a Kubernetes cluster based on the client's requirements, which could include on-premises, cloud-based (e.g., AWS, Azure, Google Cloud), or hybrid infrastructure. - Configure nodes, networking, and storage for the cluster. - Configure monitoring and logging solutions (e.g., Prometheus, Grafana, ELK Stack) to gather performance metrics, logs, and alerts from the Kubernetes cluster. - Create dashboards for real-time visibility into the cluster's health. - Set up automatic scaling of pods and nodes to handle varying workloads efficiently. - Configure load balancing for applications to distribute traffic evenly. - Establish a backup and disaster recovery strategy for critical cluster components and application data. - Regularly test and validate the recovery process. - Transition the project to the client's operations team, providing training and documentation. - Offer ongoing support and assistance, especially during the initial stages of adoption. - Conduct a post-implementation review to assess the project's success, identify areas for improvement, and gather feedback from stakeholders.
- Set up a robust Continuous Integration and Continuous Deployment (CI/CD) pipeline for a client's application - Improved code quality, reduced deployment time, and minimized errors in the software development process.
Bachelor of Engineering (BEng) in Telecommunications engineering
Master's degree in Artificial Intelligence
2023-01-01-2025-01-01