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Tier-1 brand, mid-level backend role in a metro with generalist backend requirements increases applicant competition.
Backend and cloud skills are transferable, but cybersecurity and agentic LLM experience increase domain specificity.
Explicit 5+ years requirement plus mandatory backend, distributed systems and cloud tooling makes shortlisting strict.
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Architect and develop scalable cloud-native microservices for Cyber Asset Attack Surface Management (CAASM) platform that unify asset discovery with risk assessment.
Build integration frameworks to aggregate data from third-party security vendors, cloud providers, and enterprise tools into a unified risk view.
Apply and engineer around AI-native practices including LLMs and agentic workflows to enhance engineering productivity, reliability, and code quality.
Minimum 5+ years of experience building and maintaining production-scale distributed systems.
Strong programming skills in Go, Python, or Java and hands-on Kubernetes, Docker, infrastructure-as-code experience.
Experience with event-driven architectures, message queuing, data correlation and transformation languages (CEL, JSONPath, or similar).
Practical knowledge of LLMs and agentic workflows including designing reliable AI-driven agentic systems and managing non-deterministic outputs.
Experienced in integrating complex security data sources and building large-scale backend systems.
Proficient in AI-native engineering practices, particularly LLMs and agentic loop design with strong focus on safety and reliability.
Comfortable working end-to-end on cloud services with a clear understanding of production readiness, validation, and operational guardrails.