Senior DevOps Engineer

Remote.Bulgaria
Remote.Poland
Белград
Варна
Варшава
Вроцлав
Клуж-Напока
Краков
Ларнака
Лодз
Люблин
Рига
София

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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.

Technology stack

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 Terraform
Hands 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

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