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Angel Cabrera
Senior Site Reliability Engineer at PwC
Professional Background
Angel Cabrera is an accomplished Senior Site Reliability Engineer, currently leveraging his extensive expertise at PwC, a global leader in professional services. With a robust background in deploying Artificial Intelligence (AI) and Machine Learning (ML) models to public clouds such as Azure and AWS, Angel excels in ensuring that services are built, maintained, and operated reliably and effectively. His career demonstrates a solid trajectory in software engineering focused on cloud infrastructure, specifically utilizing Kubernetes with both Linux and Windows containers. As a skilled professional, he adeptly manages and migrates large-scale cloud and web infrastructure and applications, while designing and implementing system tools to enhance automation processes.
Throughout his career, Angel has embraced roles that emphasize collaboration and innovation. Partnering with DevOps, Data Engineering, and Development Teams, he has successfully driven numerous operational improvements, thereby augmenting efficiency and reliability across multifaceted projects. His commitment to utilizing advanced technologies showcases his passion for software engineering and operational excellence.
Education and Achievements
Angel’s academic foundation is deeply rooted in Applied Mathematics and Computer Science, which he studied at the prestigious Universidad Nacional Autónoma de México (UNAM). His educational journey provided him with critical analytical skills and a profound understanding of mathematical concepts that underpin computer science and software engineering disciplines. The comprehensive education he received laid the groundwork for his successful career trajectory in technology and engineering.
In his various roles throughout his professional career, Angel has achieved notable milestones that affirm his status as a leading expert in his field. At PwC, he has advanced the firm's capabilities by ensuring high availability and performance of critical applications on cloud platforms while streamlining operational workflows through continuous integration and deployment (CI/CD) practices involving Azure DevOps, Git, and GitHub.
Achievements
The technology landscape evolves quickly, and Angel has effectively kept pace with this rapid change. He is well-versed in observability tools, including Prometheus, Grafana, ELK stack, Graylog, and Splunk, which he utilizes to monitor system performance and gain insights into application health. His proficiency extends to configuration management and automation through Ansible and Terraform, enabling him to implement scalable and efficient deployment strategies that meet the demands of modern enterprises.
In addition, Angel possesses development skills in Python and Bash, which empower him to contribute to automation processes and streamline operational tasks further. His familiarity with data storage solutions such as HDFS, Kudu, PostgreSQL, and Blob storage further emphasizes his comprehensive approach to cloud infrastructure management.
As he continues his journey in the tech industry, Angel Cabrera remains committed to leveraging his knowledge and skills to foster technological advancements and operational efficiencies. His passion for software engineering and cloud infrastructure is a driving force behind his achievements and collaborative efforts with teams across diverse sectors.