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Senior, niche AI-security role with metro location and broad skillset yields moderate competition.
Strong domain-specific cybersecurity and AI integration requirements limit cross-industry transferability.
Explicit 14+ years, mandatory AI, cloud, security, and tech-stack requirements make filters highly strict.
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Design, develop, and deploy cloud-native, AI-driven backend automation systems to enhance Security Operations Center workflows.
Drive architectural decisions, develop scalable microservices using Python and Go, and integrate AI/ML capabilities into production security automation platforms.
Lead and mentor engineers, provide technical leadership, and collaborate across teams to improve detection reliability, incident response speed, and operational efficiency.
14+ years of experience in backend software development, infrastructure engineering, or security-focused systems development.
Proficiency in Python, Go, and experience with cloud platforms such as AWS, GCP, or Azure.
Hands-on experience with Kubernetes, Docker, Terraform, and microservices architectures.
Work Experience Required: 14+ years
Experienced in building large-scale, secure, and highly available automation platforms for security operations.
Strong background in integrating artificial intelligence and machine learning into production systems within cybersecurity contexts.
Demonstrated ability to lead complex technical initiatives and influence architectural strategy in a senior technical leadership role.