Teams at WitnessAI

Own architecture and operations for a large-scale multi-tenant SaaS platform across AWS and GCP. Responsibilities include managing Kubernetes clusters, Terraform infrastructure, CI/CD, observability, DevSecOps controls, databases, disaster recovery, and AI-powered platform tooling. The role partners with engineering teams on service design and production launches while establishing runbooks and technical standards.

Lead DevOps, SecOps, MLOps, and IT engineering teams while designing and implementing scalable multi-cloud microservice infrastructure. Oversee infrastructure automation, production reliability, monitoring, security, SOC 2 compliance, customer deployments, operational costs, and developer productivity. Manage DevOps initiatives and collaborate with stakeholders to align technical execution with business objectives.

Designs, builds, and evaluates language models for AI security products. Responsibilities include dataset curation, preprocessing, LLM experimentation, safety and robustness evaluation, dashboards, knowledge graphs, model fine-tuning, production integration, monitoring, CI/CD, and ML tooling. Collaborates with researchers and data scientists to automate quality assurance and guardrails while delivering reliable, scalable, and interpretable models.