This exciting AI start-up is looking for a Senior DevOps Engineer to join their growing team here in Berlin. They’re an early stage startup with strong VC backing who are looking to take their anomaly detection product to market. Their anomaly detection platform helps maximise data insights for analysts, engineers and managers, giving them the ability to make fast and informed decisions. While the platform has many use cases it is initially focussed on Germany’s huge manufacturing industry.
Industry:
Artificial Intelligence
Machine Learning
Manufacturing
What to expect:
You’ll be joining the team as the first DevOps Engineer and will take responsibility for ensuring the infrastructure is scalable, available, and reliable. You’ll play a pivotal role in the design and construction of the anomaly detection tool and will interface with various members of the engineering team, from data scientists to software engineers. You’ll be working in a multi-cloud environment and will be responsible for implementing new and reliable logging and monitoring systems and tools. You will be improving the existing CI/CD setup and will support with MLOps practices, as well as automating the provisioning of resources, costs and workloads to support research and AI algorithms development needs. You’ll also share your knowledge of DevOps best practices within the company and will use your knowledge to encourage a strong culture.
Perks:
Full ownership of an exciting data product
Flexible working hours and home working policies
Join a team of very experienced professionals
Growth opportunities
Requirements:
Expert knowledge of Continuous integration, Infrastructure as Code, and delivery & deployment
Public cloud experience (AWS, Azure, GCP)
In-depth knowledge of Docker, Kubernetes, Terraform, CI/CD automation and Helm
Experience in orchestration, logging and monitoring
You have implemented zero trust security policies and controls
Nice to have: Experience programming in Node,js, and Python