DevOps Engineer (вакансія неактивна)

• Graduate degree in Computer Science, Informatics or relevant experience
• At least 2 years+ experience from a data engineer role
• Experience with deploying applications in a production environment (Go, Python, Node.js, Java)
• Experienced with SQL, NoSQL databases (Postgress, Cassandra, etc)
• Experience with public clouds (AWS, GCP)
• Experience with configuration management tools (Ansible, Puppet, Chef)

• Experience in building and supporting big data pipelines (Hadoop, Spark, Kafka, etc.)
• Experience with Docker orchestration systems and cluster managers (Kubernetes, ECS, GKE)
• Experience with cloud orchestration (preferably Terraform)
• Experience with large implementation and migration projects
• Working knowledge of data cueing

• Accelerate your career. We are a fast-growing global company. Being part of this journey will create opportunities to grow professionally with an increasing level of responsibility.
• High degree of independence in your work. Freedom to shape the way we work with no bureaucratism.
• Competitive salary
• Be at the forefront of AI technology. Being part of the fastest growing AI company in Denmark.
• Perfect office location close to key stations
• Paid vacation and sick leaves
• Educational courses and conferences for you to improve professionally
• Great team and calm working environment

• Working with the Grace development team to understand how the product is performing in the wild
• Support Grace users (primarily administrators) to understand and effectively govern their Grace instances
• Help us manage the lifecycles of Grace clients; from initial deployment to managing the scaling, monitoring the single and distributed services, and generally helping ensure the Grace platforms continue to perform well

Grace is an AI-enhanced technology platform intended to provide solutions for the business end-to-end. With Grace a business gain access to the same powerful AI capabilities and tools used by the tech unicorns at a fraction of the cost. Grace allows a company to take full advantage of the AI technologies while sustaining governance, flexibility, scalability, tool compatibility, and collaboration. Through the integration of the most advanced open source and proprietary 2021.AI technological components, Grace enhances data governance, increases maintainability and quality of the AI models. Grace can be installed either on-premises or deployed in a private or public cloud.