Your mission
- You design, implement and optimize the cloud infrastructure that powers our AI platform, ensuring it is scalable, secure and highly available in Microsoft Azure
- You develop and maintain infrastructure automation, monitoring systems and CI/CD pipelines that support the rapid delivery and reliability of our AI-based products and services
- You collaborate with backend, frontend and machine learning engineers in cross-functional teams to deploy, scale and operate our platform in cloud-native environments
- You ensure the stability, performance and observability of our systems through modern DevOps practices, including automated testing, benchmarking and proactive monitoring
- You actively shape our integration, deployment and orchestration strategies - contributing to a cloud architecture that supports rapid innovation and operational excellence
- You drive the continuous improvement of our DevOps toolchain, cloud cost efficiency and platform reliability
- You work in agile teams according to Scrum and Kanban
Your profile
- You have a degree in Computer Science, Software Engineering or a related technical field
- You have a minimum of 3 years of experience in DevOps or software engineering, including at least 2 years working with infrastructure automation, CI/CD pipelines and cloud-native development in a production environment
- You have a solid background in containerization technologies such as Docker and Kubernetes, including deployment, scaling and troubleshooting in orchestration environments
- You have hands-on experience with Infrastructure as Code (IaC) tools like Terraform and Ansible, with a clear understanding of how to apply them across infrastructure and application layers
- You are proficient in managing Linux-based systems, with a strong grasp of best practices for securing, monitoring and maintaining cloud-native environments
- You have experience with Microsoft Azure cloud services, including identity management, networking, storage and cloud-native compute - with a focus on cost optimization and operational efficiency
- You are familiar with GitOps workflows and tools such as ArgoCD or Flux
- You have understanding of API gateways and service discovery patterns in microservice architectures (e.g. Azure API Management, NGINX or Envoy)
- You have experience implementing and maintaining observability stacks (e.g. Prometheus, Grafana, ELK, Datadog) and building alerting and monitoring systems to support operational excellence
- You have working knowledge of security best practices in cloud environments, including secret management, RBAC and compliance considerations
- You have experience working with relational and NoSQL databases at scale
- You are a strong team player with a proactive and innovative mindset, comfortable working in a fast-paced, agile SaaS environment
- You are fluent in English
Why us?
- Experience innovation: Become part of an innovative company that aims to become the market leader in AI-powered document automation
- Varied Tasks: Work on diverse assignments, exciting challenges and innovative projects in a fast-growing organization
- Unleash creativity: Enjoy a high degree of freedom to develop your creative ideas and work directly with key decision makers and AI experts
- Create: Contribute your own ideas and shape the future of the company together with us
- Personal growth: We strive for excellence in everything we do and thus place a high focus on your personal and professional development
- Open corporate culture: Work in an open corporate culture with flat hierarchies and a diverse, interdisciplinary team
- Attractive compensation: Benefit from a competitive compensation package, regular team events and a variety of other benefits
- Work-life-balance: We attach great importance to work-life balance. Flexible working hours and the possibility to work from home guarantee this balance
Contact information
Your recruiter:
Charlotte Risch
Human Resources
charlotte.risch@natif.ai
+49 160 819 71 58