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We are looking for a software engineer to work on our workflow orchestration infrastructure and its supporting ecosystem of tools and developer experiences. This Airflow-like infrastructure is central to coordinating production data processing and machine learning workflows across multiple disparate applications and services, to be used by all internal software divisions, from data engineering to computer vision perception to simulation and more. This role requires someone passionate about automation, building production-grade tooling and improving developer efficiency and learning ever growing technologies around data and ML use cases.
In this role, you will:
Build and extend the Airflow-like infrastructure
Collaborate with cross functional teams to design and build various integrations and operators, such as integration with in-house HPC infrastructure
Improve tooling and leverage automation to provide a world-class developer experience for all software teams
Improve operational efficiency of the workflow orchestration infrastructure, including observability and monitoring.
Qualifications (5+ YOE):
Bonus Qualifications:
Experience with workflow orchestration systems such as Airflow
Experience with CI/CD
Knowledge of machine learning or data processing pipelines
Experience with designing complex logical workflows
Experience with observability tooling
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