DevOps Engineer (AI Team)

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. 

🚀 Your main responsibilities:

• Design, implement, and maintain CI/CD pipelines to ensure 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.

🎯 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.

🎁 Discover our perks & benefits:

• Work in a supportive team of passionate enthusiasts of AI & Big Data.

• Engage with top-tier global enterprises and cutting-edge startups on international projects.

• Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.

• Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.

• Choose from various employment options: B2B, employment contracts, or contracts of mandate.

• Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.

• Participate in team-building events and utilize the integration budget.

• Celebrate work anniversaries, birthdays, and milestones.

• Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.

• Get full work equipment for optimal productivity, including a laptop and other necessary devices.

• With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.

• Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.