Teams at Sonatype

Lead applied AI projects from prototype to production, building and validating ML and GenAI models (LLMs, embeddings, RAG, agentic workflows) for malicious-behavior, anomaly, and fraud detection. Advise product and engineering teams, design experiments and evaluation pipelines, translate research into scalable APIs/workflows, and ensure data governance, privacy, and ethical practices.

Develop and maintain scalable backend services supporting product provisioning, licensing, and purchasing. Design architectures, write tested Java-based code, troubleshoot production issues, improve reliability, and contribute to cloud-native infrastructure. Collaborate with product and engineering teams, participate in technical decisions and code reviews, mentor engineers, and provide hands-on technical leadership across distributed systems and microservices.

Lead the Data Identity team's technical direction: own identity data model, architect streaming and batch pipelines, design stable data contracts, lead vendor SBOM ingestion, apply AI/ML where appropriate, improve reliability, cost, and incident response, and collaborate with downstream teams and external vendors.