Software Engineering SMTS (Security/MLOps)
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The role
Design, implement, test, and operate highly scalable security detection services and frameworks in public cloud environments.
Develop real-time threat detection by combining machine learning and rule-based methods using signals from system and user logs.
Own features end-to-end, collaborate with cross-functional teams, and raise the engineering bar through robust testing, deployment, and documentation.
Operate in a hybrid engineering model, ensuring quality in your own code and contributing to the platform's technical direction and operational procedures.
Work with containers (Docker/Kubernetes), CI/CD, and Infrastructure as Code (IaC), building in Java and/or Python.
Leverage ML frameworks (Kubeflow, MLFlow, TensorFlow, PyTorch) and security fundamentals (SSO, SAML, OAuth; TLS/PKI) to protect cloud-based products.
Develop real-time threat detection by combining machine learning and rule-based methods using signals from system and user logs.
Own features end-to-end, collaborate with cross-functional teams, and raise the engineering bar through robust testing, deployment, and documentation.
Operate in a hybrid engineering model, ensuring quality in your own code and contributing to the platform's technical direction and operational procedures.
Work with containers (Docker/Kubernetes), CI/CD, and Infrastructure as Code (IaC), building in Java and/or Python.
Leverage ML frameworks (Kubeflow, MLFlow, TensorFlow, PyTorch) and security fundamentals (SSO, SAML, OAuth; TLS/PKI) to protect cloud-based products.
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