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Camus is seeking a software engineer to design and build scalable backend storage, APIs, and infrastructure for an analytics and orchestration platform in a cloud-first environment.
You will manage the full data lifecycle from ingestion and cleaning to publishing analytic results for grid control interfaces, using Python, Kubernetes, and GCP.
Design and build scalable backend storage, APIs, and infrastructure for an analytics and orchestration platform. Manage the full data lifecycle from utility ingestion and cleaning to publishing analytic results for grid control interfaces.
Requires at least 3 years of software engineering experience with a focus on infrastructure, Python 3, Kubernetes, and GCP. Experience with machine learning pipelines and handling complex real-world data is essential.
Python 3, Kubernetes, Gcp, Machine Learning, Forecasting Models, Api Design, Backend Infrastructure, Data Ingestion, Sql, Data Warehousing, Platform Engineering, Power Flow Algorithms