Develop and maintain data architecture: create and manage robust data architectures that support high-volume, high-throughput SaaS applications, focusing on reliability and scalability. * Increase engineering velocity and system reliability by developing and maintaining unified CI/CD pipelines that ship ML and application code seamlessly. * Reduce operational risk by embedding security and compliance best practices — IAM, RBAC, VPC design, secrets management, and encryption — into every layer of the stack. * You bring experience operating in high-availability SaaS environments (ideally B2B) with strict uptime, scalability, and security requirements. * You communicate clearly and collaborate effectively with engineering, data science, product, and security teams.
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