Senior DevOps Engineer with French

Aether Biomedical; Deutschland; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Vacation days

Health insurance

MyBenefit platform

English language classes

Flexible work arrangement

Learning platforms

Bench idle paid

Zusammenfassung

Aether Biomedical is seeking a Senior DevOps Engineer to design, automate, and operate cloud infrastructure powering data and AI workloads. You will focus on infrastructure automation, platform reliability, and enabling data workloads to run securely and efficiently in the cloud.

The role combines hands-on technical work with close collaboration across engineering and data teams. AWS, Databricks, Terraform, AWS Cloud services, Amazon Athena, Docker, Kubernetes, Airflow, MLflow, CI CD pipelines,

Qualifikationen

• Experience as a DevOps Engineer in production cloud environments.
• Strong hands-on experience with AWS services.
• Practical experience using Databricks in a cloud-based environment.
• Experience designing and managing infrastructure with Terraform.
• CI/CD pipelines and Git-based workflows.
• Knowledge of containerization (Docker, Kubernetes).
• Experience in data or analytics platforms.
• Proficient in English; French communication is a plus.

Aufgaben

• Design, implement, and maintain cloud infrastructure on AWS using IaC.
• Build and manage Terraform-based infrastructure for data workloads.
• Support and optimize Databricks environments on AWS.
• Configure and manage Amazon Athena for analytics use cases.
• Develop and improve CI/CD pipelines for infra and platform components.
• Monitor performance, availability, and security; address issues.
• Collaborate with data engineers and developers to translate requirements.
• Troubleshoot deployment issues and perform root-cause analysis.
• Contribute to platform standardization and continuous improvement.

Kenntnisse

Cloud infra design

AWS expertise

Databricks experience

Terraform

CI/CD pipelines

Docker

Kubernetes

English proficiency

French communication

Tools

Amazon Athena

Airflow

MLflow

Databricks

Git-based workflows

Jobbeschreibung

Client

The world’s largest sporting goods retailer, with a global team of 5,000+ experts across engineering, product, data, cloud, and cybersecurity, is building the largest digital sports platform—driving innovation from product design to customer experience and sustainability.

Project overview

The project focuses on a cloud-native data platform supporting large-scale analytics, AI, and data processing workloads.The platform leverages technologies such as Databricks and Amazon Athena, ensuring high standards for automation, scalability, security, and operational excellence.

Team

You will work in a cross functional team that includes DevOps engineers, data engineers, software developers, and product stakeholders. The team collaborates closely, sharing responsibility for infrastructure quality, deployment pipelines, and platform stability.

Position overview

We are looking for a Senior DevOps Engineer to design, automate, and operate cloud infrastructure supporting data and AI workloads. You will focus on infrastructure automation, platform reliability, and enabling data workloads to run securely and efficiently in the cloud. The role combines hands on technical work with close collaboration across engineering and data teams.

AWS, Databricks, Terraform, AWS Cloud services, Amazon Athena, Docker, Kubernetes, Airflow, MLflow, CI CD pipelines, Git based workflows, monitoring and logging tools, scripting languages

Responsibilities

• Design, implement, and maintain cloud infrastructure on AWS using Infrastructure as Code practices
• Build and manage Terraform based infrastructure to support data and analytics workloads
• Support and optimize Databricks environments running on AWS
• Configure and manage Amazon Athena for querying and analytics use cases
• Develop, maintain, and improve CI CD pipelines for infrastructure and platform components
• Monitor platform performance, availability, and security and address operational issues
• Collaborate with data engineers and developers to translate platform requirements into technical solutions
• Troubleshoot infrastructure and deployment issues and perform root cause analysis
• Contribute to platform standardization, documentation, and continuous improvement initiatives

Requirements

• Experience working as a DevOps Engineer in production cloud environments
• Strong hands on experience with AWS services
• Practical experience using Databricks in a cloud based environment
• Experience designing and managing infrastructure with TerraformHands on experience with Amazon Athena
• Experience working with CI CD pipelines and Git based workflows
• Knowledge of containerization (Docker, Kubernetes)
• Experience working in data or analytics platforms
• Ability to communicate effectively in French in a professional context
• Professional working proficiency in English

Nice to have

• Experience with data engineering or analytics platforms
• Exposure to multi-cloud architectures (AWS & GCP)
• Experience in enterprise-scale environments
• Strong interest in AI / Generative AI technologies
• Scripting or programming experience with Python, Shell, or similar languages
• Experience working in large scale or enterprise environments

What We Offer:

• Vacation days: Up to 26 business days per year.
• 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types
• Health and life insurance (Luxmed)
• MyBenefit platform with Multisport option
• Internal psychological support service
• English language classes from the first working day
• Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training
• Flexible workplace: work from the office, from home, or choose a hybrid option
• Opportunities to develop as a public speaker, mentor, or technical interviewer
• Fully paid idle (bench) when not involved in a project

Senior Senior Permanent, B2B Permanent, B2B Full-time Full-time