- Experience with Go & Python in production environments.
- Experience with workflow orchestration platforms such as Temporal.
- Experience building internal developer platforms or business-critical internal applications.
- Experience with MLOps, including ML model deployment, monitoring, and lifecycle management. Familiarity with tools and platforms like MLflow, Kubeflow, or SageMaker.
- Experience with Snowflake, Airflow, and dbt.
- Experience with stream processing frameworks such as Flink.
- Experience with cloud-native infrastructure and containerized deployments.
- Experience with monitoring and observability tooling for production systems.
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.
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We will never ask for payment, banking details, or sensitive personal information during the hiring process. If you are contacted by someone claiming to represent us from a different email address, please treat it as fraudulent.