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Recognizable cybersecurity brand and Bangalore location increase competition, but senior, specialized role reduces broad applicant pool.
Role demands deep cybersecurity, cloud-native, and backend expertise, limiting cross-industry transferability.
Explicit 14+ years requirement plus mandatory cloud, backend, and AI technical expertise enforces strict filtering.
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Design, develop, and deploy AI-driven, cloud-native security operations automation platforms to enhance detection, incident response, and operational efficiency.
Lead architectural decisions including LLMs and autonomous security tooling frameworks and mentor engineering teams for technical excellence.
Collaborate across threat detection, data science, and platform teams to deliver scalable, secure, and reliable backend microservices and automation workflows.
14+ years of experience in backend software development, infrastructure, or security systems engineering.
Proficiency in Python, Go, cloud platforms (AWS, GCP, or Azure), Kubernetes, Docker, Terraform, and microservices architecture.
Experience integrating AI/ML capabilities into production security or automation systems.
Background checks required; notice period not explicitly mentioned.
Experienced in leading large-scale backend automation projects in cybersecurity or related fields with measurable impact on SOC operations.
Strong grasp of distributed cloud-native systems and integrating advanced AI frameworks such as large language models for security workflows.
A senior technical leader capable of independently driving architectural innovation, mentoring engineers, and collaborating with multidisciplinary security and engineering teams.