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.

Valuable to Have: Splunk, AI/GenAI, agentic automation, CI/CD, configuration-as-code and YARA-L.

📌 Solutions Architect (Melbourne)
🏢 BlueRose Technologies
📍 Melbourne