
Hector Robles
Cloud native Validation and DevOps Software Engineer
Habilidades

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Experiencia laboral
Intel
Tiempo completo • 6 yrs 3 mos
System Software Validation Engineer
Apr 2022 - Jul 2025 • 3 yrs 3 mos
Executed and improved OneAPI project validation efficiency by locally coordinating efforts across three geographies, reported directly to management, and led a team of five engineers. * Led validation execution for software components and toolkits across multiple platforms and feature sets. * Designed and maintained validation environments, automation pipelines, and CI repositories to streamline testing flows. * Developed tools and scripts for data retrieval (e.g., JIRA), automated reporting, and CI pipeline integration. * Triaged and debugged test failures; collaborated with CI and deployment teams to enhance test coverage and release efficiency. * Mentored six new team members and facilitated cross-geo collaboration to align validation efforts. * Led the validation local team and coordinated cross-geo collaboration. Achieved last known good package set increments from 25 to ~40 sets per Q (60%) with an increment every 2.2 working days on average. * Delivered multiple software releases with increased automation and test scope: Implemented containerized products validation automation using Python scripts and Jenkins CI pipelines. * Collaborated with team to achieve and maintain 95% automated test coverage. * Kept low, high, or critical issue escapes to less than or equal to 1 within the owned test scope.
Cloud Software Engineer
Mar 2019 - Mar 2022 • 3 yrs
Executed the integration and testing of cloud-native stacks within the System Stacks Engineering Project, reporting directly to management and coordinating closely with team leaders. * Developed and tested containerized solutions for deep learning and data analytics stacks. * Developed and maintained approximately 400+ automated test cases. * Deployed Kubernetes clusters and wrote Dockerfiles and Bash scripts for image builds. * Created and maintained validation plans aligned with project requirements and quality standards. * Acted as Scrum Master, managing Agile ceremonies and Jira workflows. * Supported container publishing to AWS and DockerHub; documented internal processes. * Contributed to multiple containerized software solutions releases and stack integrations. * Improved automation efficiency by implementing Robot Framework in validation pipelines. * Proposed and ran use case "Identify Galaxies using the Deep Learning reference Stack".