Job Overview:
\Helpers' teams work on open-source solutions for public cloud and private infrastructure. As a software engineer, you will collaborate on end-to-end data analytics and MLOps solutions using tools such as Kubeflow, MLFlow, DVC, and Feast.
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1. Design, build, and maintain deployed solutions on public and private clouds and local workstations
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2. Master distributed systems concepts like observability, identity, and tracing
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3. Work with Kubernetes and machine-oriented open-source applications
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4. Collaborate with a distributed team of engineers, designers, and product managers
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5. Debug issues and engage with upstream and Ubuntu communities
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6. Generate ideas and find effective solutions
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