Teams at Zealogics LLC

Develop cloud-native software using Python, APIs, microservices, Docker, and Kubernetes. Design system architectures, deliver through Agile practices, and build AI agents and agentic workflows. Preferred work includes AI applications, LLM integrations, front-end development with React or Angular, data engineering, and MCP server development and integration.

Leads multiple mechanical engineering projects from requirements through design, analysis, validation, and release. Provides technical direction and mentorship to senior engineers, reviews mechanical concepts and designs, manages technical risks, and ensures quality, manufacturability, reliability, schedule, and cost objectives. The role includes customer communication, design reviews, resource planning, cross-functional collaboration, engineering process improvement, and resolution of complex mechanical engineering issues.

Leads hands-on security, automation, compliance, and operational foundations for a Managed AI cloud platform. Designs CI/CD pipelines, Infrastructure as Code, security controls, compliance validation, observability, deployment automation, secrets management, AI governance, and incident response across Azure and GCP. Provides technical leadership, mentors engineers, and participates in architecture, code review, and platform governance activities.