Backend Engineer

• Adapting our MLOps offering to deal with new technical challenges in the predictive and particularly generative AI landscape
• Seek, give, and receive critical feedback in a constructive manner
• Maintaining and improving our existing tools, APIs, integrations and tests
• Operate and troubleshoot the services we maintain in Kubernetes clusters
• Working directly with customers in workshops or escalations
• Lead your own projects with high autonomy through technical designs, implementation, and release to customers
• Collaborate closely with product managers to distill requirements into technical tasks
• Operate a 24/7 on-call rotation where team members take turns dealing with operational incidents.

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