Summary
Aleksandar Antonov is a Technical Escalations Engineer specializing in synthetics and AI testing, with nine years of experience building reliable systems that bridge complex technical constraints and real user outcomes. At Datadog he owns features end-to-end—shaping OKRs, partnering on AI capabilities, and creating internal Claude/MCP workflows that turn escalations into product improvements, earning a 'Top Dog' award. Previously he led API management for 30+ HIPAA-compliant healthcare SaaS products at Kaiser, where airtight data flows and auditability were non-negotiable and taught him to design systems that fail gracefully and explain themselves. He combines hands-on engineering (Python, SQL, AWS, Kubernetes) with product instincts and UX influence to ship AI-native diagnostics and IaC workflows. Comfortable operating between support, PM, and engineering, he’s deliberate about pivoting into product work that amplifies human outcomes in regulated industries. Outside of day-to-day roles he volunteers in CS education and keeps coding as a full-stack technologist, blending creativity with operational rigor.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Bucknell University
High School Diploma, High School Diploma at Suffern High School
Bulgarian, English, Spanish