Vizzia designs artificial intelligence solutions to reduce the environmental impact of cities and buildings.
In this context, you will play a key role in ensuring the scalability, reliability, and autonomy of AI pipelines, by building and maintaining a robust, automated, and secure Cloud infrastructure.
Your work will enable AI and Data Science teams to deploy, monitor, and iterate quickly on models with strong environmental impact.
Design, deploy, and maintain high-performance, secure AWS Cloud environments (EKS, ECS, Lambda, IAM, S3, etc.).
Build and continuously improve CI/CD pipelines (GitHub Actions, GitLab CI) to ensure fast and reliable deployments.
Develop and maintain Infrastructure as Code (Terraform, AWS CDK) to automate resource creation and management.
Ensure observability and monitoring of systems: logs, metrics, alerting, and dashboards.
Participate in architecture reviews with AI & Data Science teams and contribute to continuous improvement (performance, cost optimization, security).
Actively contribute to the DevOps culture: knowledge sharing, clear documentation, and constructive feedback.
Strong experience with AWS (ECS/EKS, IAM, EC2, S3, Lambda, etc.).
Proficiency with Infrastructure as Code tools (Terraform or CDK).
Excellent understanding of CI/CD practices (GitHub Actions, GitLab CI, etc.).
Advanced knowledge of Cloud security, networking, and permissions (VPCs, IAM policies).
Experience with monitoring/observability tools (Datadog, Prometheus, Grafana, etc.).
Strong DevOps mindset: automation, documentation, and collaboration with multidisciplinary teams (AI, Data, Software).
Languages: Professional proficiency in French and English.
Degree: Master’s degree (or equivalent) in Computer Science preferred (optional).
Strong technical curiosity and eagerness for continuous learning.
Ability to simplify complex systems and clearly explain technical decisions.
Genuine motivation for environmental impact and AI.
Strong sense of ownership and continuous improvement.
A collaborative mindset rather than a competitive technical attitude.
Contribute to real-world AI projects with environmental impact.
Work within a multidisciplinary team (AI, Data, Software, Product).
Access a modern tech environment (AWS, IaC, observability, CI/CD).
A culture of trust and responsibility, where everyone contributes to collective progress.
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