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Strong Tier-1 brand, hybrid Bangalore, popular backend title, and mid-level 5+ years attract high competition.
Core backend skills transfer, but cybersecurity and agentic LLM requirements increase domain specificity.
Mandatory 5+ years, specific languages, Kubernetes, and LLM/agent experience enforce strict filters.
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Design and develop scalable cloud-native microservices and APIs for Cyber Asset Attack Surface Management (CAASM) platform integrating asset discovery with risk assessment.
Build integration frameworks connecting diverse third-party security vendors, cloud providers, and enterprise tools to unify organizational risk data.
Apply LLMs and agentic workflows to enhance engineering productivity, code quality, and deliver complex backend systems reliably at enterprise scale.
At least 5+ years of production experience building and maintaining large-scale distributed systems.
Strong proficiency in Go, Python, or Java; experience with Kubernetes, Docker, and infrastructure-as-code tools.
Hands-on experience with event-driven architectures, message queuing, data correlation techniques, and data mapping/transformation languages (e.g., CEL, JSONPath).
Work Experience Required: Minimum 5+ years; Location: Bangalore (Hybrid).
Experienced engineer focused on scalable backend and data integration solutions in security or related domains.
Skilled in applying AI technologies including LLMs and agentic patterns with knowledge of safe and reliable agentic workflow design.
Comfortable operating in cloud-native, distributed, and event-driven environments with exposure to security asset management or vulnerability domains.