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Tier-1 brand, generalist software title, mid-level experience and metro visibility drive high competition.
Requires specialized security/privacy and backend/cloud expertise, limiting transferability across industries.
Explicit years, mandatory security/privacy domain experience, and required cloud/container skills make filters strict.
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Take ownership of systems for insider risk, incident detection, and automated access management with full lifecycle architecture and implementation.
Lead development of AI agent workflows and micro-services integrating with distributed data systems and Google APIs using Python, Java, or C/C++.
Engineer scalable automated vulnerability management, permission enforcement, and operate containerized apps on GCP with infrastructure-as-code and DevOps pipelines.
Bachelor's degree or equivalent practical experience.
At least 2 years of software development experience with one or more programming languages and relevant data privacy or security software experience.
Experience in security concepts including access control, authentication, authorization, cryptography, and network security.
Work Experience Required: Minimum 2 years software development; 2 years building software for data privacy or security.
Proven ability to architect and lead implementation of scalable, secure software systems and AI-driven workflows in complex production environments.
Experience with GCP cloud services, containerization (Docker, Kubernetes), DevOps tools, and infrastructure-as-code methodologies.
Strong background in engineering automated security tools, vulnerability management platforms, and operationalizing strict permission models.