DevOps Engineer

DevOps Engineer

Job Description:

We are seeking a talented DevOps Engineer who is passionate about developing and deploying innovative machine learning applications and platforms. In this role, you will leverage your expertise in data engineering and cloud technologies to create proof of concepts and fully operational solutions that utilize cutting-edge machine learning algorithms. You will be instrumental in designing and implementing robust environments for testing, staging, and production, whether in the cloud, on Kubernetes, or on-premises. The ideal candidate will enjoy automating repetitive tasks through modern CI/CD pipelines, enabling rapid delivery while ensuring the reliability and scalability of our services. Your responsibilities will also include setting up monitoring and recovery infrastructures that allow our clients to operate these solutions effortlessly. As part of our collaborative network, you will actively engage in communities of practice and hackathons, continually enhancing your skills and sharing knowledge with peers.

IT Languages:

• Python
• Bash
• YAML
• JSON

As a DevOps Engineer, you will be responsible for a variety of tasks aimed at improving the deployment and operation of machine learning solutions.:

Design and implement innovative data processing infrastructures, Develop and manage test, staging, and production environments, Automate workflows using state-of-the-art CI/CD pipelines, Implement monitoring, failover, and recovery solutions, Maintain comprehensive documentation for deployed solutions

Spoken Languages:

• English, German

Skillset:

• Cloud-native technologies
• Infrastructure as Code (IaC) frameworks like Terraform
• CI/CD frameworks such as Jenkins or GitLab CI
• Understanding of REST APIs
• Knowledge of networking concepts and infrastructure design
• Experience with databases and data processing frameworks

Qualifications:

• University degree in science
• engineering
• or a related field
• Hands-on experience with at least one major cloud provider such as AWS
• Azure
• or GCP
• Experience with on-premises infrastructure or Kubernetes

Years of Experience:

5

Location:

Europe

Job Benefits:

• Access to diverse projects across various industries such as banking
• insurance
• and automotive
• Opportunities for interdisciplinary training in data engineering
• cloud architecture
• and data science
• Active social programs including training
• conferences
• and team-building activities
• Flexible work environment including options for remote work
• Gym membership subsidy

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• We foster an open and collaborative environment that encourages knowledge sharing and professional growth. Team members are encouraged to participate in innovative projects
• engage in continuous learning
• and contribute to a vibrant community. The workplace is designed to promote creativity and teamwork
• ensuring that everyone feels valued and empowered.

Opportunities For Advancement:

• Participation in hackathons
• Access to a wide network of industry experts
• Continuous learning opportunities through various training programs

Visa Sponsorship:

Available