Hiring: Solution Architect – AI-Enabled SIEM & Data Onboarding We are looking for an experienced Solution Architect to lead the design of an AI-enabled, standards-driven data onboarding solution, initially focused on Google SecOps and AWS S3/Data Lake.
Key Responsibilities
• Define MVP architecture and scalable self-service data onboarding solutions.
• Design SIEM integrations, data ingestion, parsing, normalization, routing and validation.
• Establish automation patterns using APIs, AI-assisted workflows and reusable standards.
• Integrate Google SecOps, Cribl Stream, AWS S3 and Splunk where required.
• Collaborate with Cybersecurity, Engineering, Operations and Delivery teams to ensure secure, scalable solutions. Essential
Skills:
• Strong Solution Architecture experience in SIEM, security analytics or data ingestion.
• Hands-on experience with Cribl Stream and AWS S3-based data architectures.
• Understanding of Google SecOps, UDM mapping, data schemas and SIEM onboarding.
• Experience with API integrations, automation, cloud security and enterprise architecture.
• Ability to translate technical standards into reusable architecture patterns. Positive to Have: Splunk, AI/GenAI, agentic automation, CI/CD, configuration-as-code and YARA-L.