DevOps Engineer in the AI team @ Addepto in Addepto

Addepto is a leading consulting and technology company specializing in AI and Big Data, helping clients deliver innovative data projects. We partner with top-tier global enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. Our exclusive focus on AI and Big Data has earned us recognition by Forbes as one of the top 10 AI companies.

As a DevOps Engineer , you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. You will design, implement, and manage the deployment processes for our applications. Your expertise in Azure, Docker, Kubernetes / OpenShift and microservices will ensure our systems' smooth operation and scalability. You will also be responsible for closely cooperating with teams currently managing Azure infrastructure. 

🎯 What you’ll need to succeed in this role:

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.
• Minimum of 5 years of experience in DevOps or related roles.
• Proven experience with Azure services and infrastructure management.
• Proficiency in Docker and Kubernetes / OpenShift for containerization and orchestration.
• Strong understanding of microservices architecture and deployment.
• Experience with Azure Data Factory.
• Experience with CI/CD tools such as Jenkins , GitLab CI , Azure DevOps.
• Experience managing and optimizing Azure infrastructure, including virtual machines, storage accounts, and networking components.
• Strong scripting skills in languages such as Bash , Python , or PowerShell .
• Excellent problem-solving skills and the ability to work under pressure.
• Strong communication and collaboration skills.
• Certification in Azure (e.g., Microsoft Certified: Azure DevOps Engineer Expert) is preferred.
• Experience in Data Science / Data Engineering will be a plus.

Addepto is a leading consulting and technology company specializing in AI and Big Data, helping clients deliver innovative data projects. We partner with top-tier global enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. Our exclusive focus on AI and Big Data has earned us recognition by Forbes as one of the top 10 AI companies.

As a DevOps Engineer , you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. You will design, implement, and manage the deployment processes for our applications. Your expertise in Azure, Docker, Kubernetes / OpenShift and microservices will ensure our systems' smooth operation and scalability. You will also be responsible for closely cooperating with teams currently managing Azure infrastructure. 

,[Design, implement, and maintain CI/CD pipelines toensure efficient and reliable deployment of applications. , Deploy and manage containerized applications using Docker and Kubernetes. , Support and maintain microservices architecture, ensuring high availability and scalability. , Collaborate with development teams to ensure best practices for continuous integration and delivery. , Monitor system performance and troubleshoot issues to ensure high availability and reliability. , Automate repetitive tasks to improve operational efficiency. , Ensure security best practices are followed in all aspects of infrastructure and deployment. , Provide support for production environments. ]

Requirements: DevOps, Azure Data Factory, Microservices architecture, Jenkins, GitLab CI, Azure, Bash, PowerShell, Python, Docker, Kubernetes, OpenShift, AI, Data science, Data engineering, Big data, Machine learning
Tools: Jira, GitLab, Agile, Scrum.
Additionally: Private healthcare, Multisport card, Referral bonus, MyBenefit cafeteria, International projects, Flat structure, Paid leave, Training budget, Language classes, Team building events, Small teams, Flexible form of employment, Flexible working hours and remote work possibility, Sport subscription, Free coffee, Shower, Startup atmosphere, No dress code, In-house trainings.