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About the job
About the Role:
We are seeking a Senior Cybersecurity SME to act as the primary intelligence layer for a cutting-edge AI remediation project. Working in a highly secure environment, you will analyze proprietary Cryptography Bill of Materials (CBOM) data across a massive portfolio of legacy and modern applications, translating raw security data into actionable patterns for AI engineers.
Key Responsibilities:
● Architect a multi-agent LangGraph workflow hosted on AWS ECS Fargate.
● Design the LLM integration layer utilizing Amazon Bedrock (Claude/Gemini APIs) for automated vulnerability remediation logic.
● Architect a Retrieval-Augmented Generation (RAG) vector system using OpenSearch to map security scan findings against enterprise rule dictionaries.
● Design a robust state-management layer using DynamoDB to track remediation checkpoints.
● Design a secure "Reviewer Dashboard" using API Gateway, AWS Lambda, and Amazon Cognito for human-in-the-loop approval gates.
● Parse and analyze raw JSON/SBOM/CBOM vulnerability scans across complex enterprise applications.
● Identify critical deviations from modern encryption standards, including TLS migrations (1.0/1.2 to 1.3), cipher suite upgrades (AES-128 to AES-256-GCM), and SSH host key hardening.
● Map complex infrastructure characteristics (e.g., hardware load balancers, IoT constraints) to technical remediation requirements.
● Identify unencrypted secrets and keys in codebases, architecting mappings for secure KMS integration.
Required Qualifications:
● Senior-level expertise in Cloud and Software Architecture (AWS Solutions Architect Professional certification highly preferred).
● Deep, demonstrable expertise in AWS networking, compute (ECS/Fargate), and serverless data stores (DynamoDB, OpenSearch).
● Hands-on architectural experience with Generative AI orchestration frameworks, specifically LangGraph and LangChain.
● Strong foundation in DevSecOps practices and automated remediation pipelines.
