01/05/2026 updated
100 % available
Senior DevOps Engineer and Solution Architect (AWS and Machine Learning Certified)
Riyadh, Saudi Arabia Bachelor Of Computer Science With Specialization in Software Engineering
Java (Programming Language)JavaScriptPHPVbscriptAgile MethodologyAmazon Web ServicesApache HTTP ServerArchitectureHTML5AutomationMicrosoft AzureBash ShellCascading Style Sheets (CSS)Cloud ComputingDatabases
Cloud Native Architecture
Extensive experience with Cloud Native Architecture, particularly on multiple public clouds. Building Data Pipelines and Data Lakes, applying Feature Engineering on data, and assessing the right Machine Learning algorithm for assigned tasks.
DevOps and CI/CD
Proficient in building CI/CD Pipelines using a variety of tools. Experienced in automating test environments, deployment, release, and support of end-to-end solutions.
Agile Methodologies
Skilled in Agile Methodologies such as Scrum and Kanban for architecting, building, and automating solutions.
Programming Languages
Proficiency in multiple programming languages including Python, JavaScript, TypeScript, Java, Kotlin, PHP, Bash Scripting, VBScript, and Rust.
Web & Mobile Technologies
Experience with various web and mobile technologies such as Ionic, Angular.js, Cordova, React.js/Redux, Django, Flask, Wagtail CMS, Express.js, LoopBack Framework, Node.js, Vue.js, RESTful API, gRPC, JSON, XML, NGINX, Apache, IIS, HTML5, CSS, Webpack, YARN, and NPM.
Database Technologies
Familiarity with various database technologies including MySQL, RethinkDB, IBM DB2, LokiDB, Postgres, MongoDB, Redis, Parquet, Spark, and Hadoop.
DevOps Tools
Proficiency in DevOps tools such as Ansible, Docker, VMware, VirtualBox, KVM, Vagrant, Git, CircleCI, Jenkins, Kubernetes, Terraform, Terragrunt, GCP, Azure, and AWS.
Machine Learning / Deep Learning
Knowledge of ML / DL libraries and tools including Numpy, Pandas, Matplotlib, TensorFlow, Keras, Jupyter Notebook, Scikit, and NLTK.
Extensive experience with Cloud Native Architecture, particularly on multiple public clouds. Building Data Pipelines and Data Lakes, applying Feature Engineering on data, and assessing the right Machine Learning algorithm for assigned tasks.
DevOps and CI/CD
Proficient in building CI/CD Pipelines using a variety of tools. Experienced in automating test environments, deployment, release, and support of end-to-end solutions.
Agile Methodologies
Skilled in Agile Methodologies such as Scrum and Kanban for architecting, building, and automating solutions.
Programming Languages
Proficiency in multiple programming languages including Python, JavaScript, TypeScript, Java, Kotlin, PHP, Bash Scripting, VBScript, and Rust.
Web & Mobile Technologies
Experience with various web and mobile technologies such as Ionic, Angular.js, Cordova, React.js/Redux, Django, Flask, Wagtail CMS, Express.js, LoopBack Framework, Node.js, Vue.js, RESTful API, gRPC, JSON, XML, NGINX, Apache, IIS, HTML5, CSS, Webpack, YARN, and NPM.
Database Technologies
Familiarity with various database technologies including MySQL, RethinkDB, IBM DB2, LokiDB, Postgres, MongoDB, Redis, Parquet, Spark, and Hadoop.
DevOps Tools
Proficiency in DevOps tools such as Ansible, Docker, VMware, VirtualBox, KVM, Vagrant, Git, CircleCI, Jenkins, Kubernetes, Terraform, Terragrunt, GCP, Azure, and AWS.
Machine Learning / Deep Learning
Knowledge of ML / DL libraries and tools including Numpy, Pandas, Matplotlib, TensorFlow, Keras, Jupyter Notebook, Scikit, and NLTK.
Languages
ArabicNative speakerEnglishNative speaker
Project history
Leading a team of engineers, mentoring junior engineers, and conducting technical interviews. Managing migration of Kubernetes Clusters to GCP (GKE) for a large bank. Working on security and governance tools for GitLab and JFrog.
Automated release processes, facilitated cross-functional team meetings, and provided guidance on release management. Designed a new Multi-Tenant Kubernetes cluster and supported migration from Jenkins to GitHub Actions for CI/CD Pipelines.
Automated release processes, worked closely with CTO on team culture and workflow. Implemented AWS multi-accounts strategy with Single Sign-On and Google Workspace as IdP. Built and maintained Github Actions CI/CD pipelines and used IaC with Terraform/Terragrunt for cloud native infrastructure.
Certificates
AWS Certified Solutions Architect – Professional
Amazon2020
AWS Certified Machine Learning – Specialty
Amazon2020