Cloud DevOps Engineer - AI

Sumár práce
Plný úväzok
Paris
Niekoľko dní doma
Plat: Neuvedené
Zručnosti & odborná znalosť
Neustále zlepšovanie
Kontinuálna integrácia
Spolupráca a tímová práca
Grafana
GitLab CI
+7

Vizzia
Vizzia

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Pozícia

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🎯 Mission

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.

🛠 Key Responsibilities

  • 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.

Your Profile

  • 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).

What Will Make the Difference

  • 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.

💚 Why Join Us?

  • 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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