Permanent employee, Full-time · Karlsruhe (HQ)
You will be part of an ambitious team which has fun delivering high-reliable software to our customers.
As a DevOps / Cloud Engineer, you operate our SaaS ecosystem. The role is a blend of system and software engineering where coding and automation are essential. You embody the philosophies of DevOps with a greater focus on measuring and achieving reliability through engineering and operations work. You will help the team to build, ship and operate our product making AI accessible to bring society to the next level.
As part of a Scrum team, you help to build a developer-friendly, reliable microservice infrastructure
Promote a DevSecOps mindset within your team to own our product end to end
Collaborate across teams and departments to improve product reliability and performance
Identify automation opportunities to gain efficiency, reliability, and scalability
Engage in service capacity planning and demand forecasting, incident handling, and performance analysis
Research and evaluate solutions for our SaaS use cases e.g which persistence to use or what messaging solution fits best
University degree in Computer Science (or related) or a proven track record as a DevOps expert
Strong experience with one or more cloud providers - we are using Google Cloud
Deep knowledge of running and scaling microservices with a container orchestrator, expertise in Kubernetes is a plus
Large-scale system design exposure, in-depth understanding of UNIX/Linux, network technology, and security practices
You are eager to learn, a reliable team player and hungry for new challenges
Thank you for considering a career at understand.ai. Please fill out the following form. In case you are experiencing problems with the document upload, mail your documents to firstname.lastname@example.org.