Open to opportunities

Antoine User

@antoineuser2

Message

Dedicated Site Reliability Engineer focused on optimizing platform performance.

Canada

Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my skills in SRE and machine learning to drive impactful improvements.

As a Site Reliability Engineer at Stingray, I have designed routing between VPCs and Kubernetes clusters using AWS Transit Gateway, enabling secure and scalable cross-network communication. My work includes migrating databases from KubeDB to AWS Aurora and modernizing container image management by transitioning from Harbor to Amazon ECR. I implemented a resource optimization service for EKS clusters, achieving approximately $15K in monthly cost savings, and created automation tools using Golang, Python, and Bash to streamline workflows.

My commitment to excellence is reflected in my ability to build and maintain infrastructure with Terraform and Helm, enhancing automation, consistency, and reliability across environments. I improved observability by integrating Prometheus with custom metrics and alerting setups, and I actively supported developers by troubleshooting CI/CD issues. My participation in a 24/7 on-call rotation ensures high availability and rapid incident response.

Experience

Work history, roles, and key accomplishments

Current

Site Reliability Engineer

Current

Stingray

Jun 2024 - Present (1 year 2 months)

Designed routing between VPCs and Kubernetes clusters using AWS Transit Gateway to enable secure, scalable cross-network communication. Implemented a resource optimization service for EKS clusters, achieving approximately $15K in monthly cost savings.

Kubernetes AWS Terraform Helm Golang Python BASH Prometheus CI CD

Machine Learning Engineer

Genetec

May 2023 - Present (2 years 3 months)

Managed a complex project scope, incorporating advanced deep learning and integration with camera/microphone systems for gunshot detection in Python. Engineered a deep learning solution leading to a 75% efficiency increase for the inference on the camera.

Deep Learning Python Machine Learning Cameras

MLOps Developer

Evident Scientific

Jan 2022 - Present (3 years 7 months)

Designed and executed training pipelines for models tailored to specific tasks within the MLOps environment. Developed and maintained machine learning models in an MLOps framework, becoming a lead developer for ML implementations on Azure.

MLOps Machine Learning Azure Data Analysis Python Model Training Data Pipelines

Site Reliability Engineer Intern

Stingray

May 2021 - Present (4 years 3 months)

Designed and implemented improvements for a Kubernetes continuous delivery and integrations platform. Mastered tools including Golang, Docker, Kubernetes, Prometheus, Helm, AWS, Grafana, Concourse and Slack.