Yacine Sahli

Senior Consultant Cloud Engineering

Biography

Yacine Sahli is a Senior Consultant specialising in Cloud technologies (Azure/AWS/GCP). He is currently focusing and Infrastructure as Code (IaC) and DevSecOps methodologies.

Interests

Cloud engineering
DevOps
Penetration Testing

Education

Master in Computer Science, 2021
University of Mons
Bachelor in Compute Science, 2019
University of Mons
Exchange Student, 2019
National Taiwan University of Science and Technology

Skills

Technical

Python

Cloud AWS/Azure/GCP

DevOps

Hobbies

Hiking

Cats

Photography

Experience

Cloud Engineering Senior Consultant

Deloitte

July 2024 – Present Zaventem, Belgium

As a Senior Consultant in Cloud Engineering at Deloitte, I led the design and deployment of cloud solutions, ensuring security and compliance. I worked with teams to optimize cloud infrastructure and enhance efficiency, delivering top-notch results for clients.

Production Engineer & DevOps

Yahoo!

June 2022 – June 2024 Taipei, Taiwan

Working in a Taiwan‐US mixed team managing Apache Traffic Server (ATS) clusters serving billions of requests per day for Yahoo web pages, Yahoo finance, Yahoo, Yahoo news, and many more.

DevOps Engineer

Rolo Innovation Inc

July 2021 – May 2022 Taipei, Taiwan

Responsibilities include:

Kubernetes ‐ Google Cloud ‐ Helm ‐ Terraform ‐ Terragrunt ‐ CircleCi
Continued to develop and maintain the Kubernetes cluster using best practices such as PSP,tight network policies and mozilla sops.
Prometheus monitoring, alerting with Alertmanager and grafana to have a strong observability of our cluster

Freelance Web Developer

Self-employed

May 2020 – May 2021 Belgium

Built websites for small businesses using Wordpress, cpanel, netlify and Hugo. It made me in charge of my own registered business. I had to manage all the invoices and accounting while prospecting for new clients.

Cloud Developer Intern

Necko Technologies

September 2020 – December 2020 Belgium, Mons

Predictive train maintenance with AWS IoT Greengrass.
Built a demo of cloud‐native predictive maintenance on a Lego train. Technologies used: AWS, AWS IoT, AWS IoT Greengrass, AWS Sagemaker, AWS Lambda, AWS Cloudformation, AWS Cloudwatch, AWS DynamoDB, Python, Ansible, Javascript, Jquery