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Senior, metro role at a reputable cybersecurity firm, but niche AI-security specialization limits applicant density.
Requires deep security operations and AI integration experience, limiting transferability across industries.
Explicit 14+ years requirement plus mandatory cloud, AI, security tech, and background checks increases shortlisting strictness.
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Design, develop, and deploy backend automation and AI-driven systems to enhance Security Operations Center workflows using cloud-native architectures and microservices.
Lead architectural direction and integration of advanced AI capabilities, large language models, and autonomous frameworks into security operations tooling.
Mentor and provide technical leadership to engineering teams, driving innovation and engineering excellence across detection pipelines, incident response playbooks, and automation frameworks.
14+ years of experience in backend software development, infrastructure engineering, or security-focused systems development.
Proficiency in Python, Go, cloud platforms (AWS, GCP, or Azure), Kubernetes, Docker, Terraform, and microservices architectures.
Experience integrating AI/ML capabilities into production systems and strong knowledge of data pipelines and security detection workflows.
Background checks required; On-camera policy during interviews; Work Experience Required: 14+ years explicitly stated.
Senior technical leader with demonstrated success leading large-scale engineering projects from design through production in cybersecurity/automation domains.
Deep expertise in automation design patterns, distributed systems, cloud-native applications, and advanced AI/ML integration.
Experience collaborating cross-functionally with threat detection, incident response, data science, and platform teams to build secure, scalable security operations automation platforms.