Zoran Ilic

Senior Backend & AI Infrastructure Engineer

IntelliBoard • Período integral

Nov 2023 - Nov 2025 • 2 yrs

▪Designed and built scalable backend services and distributed systems using Python, Go, and TypeScript to support AI-enabled products and real-time data workflows across cloud-native production environments. ▪Developed production-grade REST and gRPC APIs supporting AI inference, workflow orchestration, and high-volume distributed application traffic with strong emphasis on reliability and scalability. ▪Built backend infrastructure supporting AI workflows, including model integration pipelines, event-driven processing systems, and asynchronous distributed execution environments. ▪Designed and optimized PostgreSQL and Redis-based architectures supporting low-latency APIs, event processing, and large-scale data ingestion systems. ▪Implemented cloud-native infrastructure using Kubernetes, Docker, AWS, and GCP, improving deployment scalability, operational reliability, and system resilience across distributed workloads. ▪Developed monitoring, observability, and distributed tracing systems using logging, metrics, and alerting frameworks to improve production incident detection and operational visibility. ▪Built event-driven backend systems leveraging Kafka-style messaging patterns and asynchronous workflows to support scalable AI automation pipelines and real-time processing. ▪Collaborated closely with AI/ML engineers to integrate AI models and inference services into production backend infrastructure with optimized resource allocation and deployment automation. ▪Improved backend performance and reliability through concurrency optimization, database tuning, caching strategies, and distributed architecture enhancements across high-traffic systems. ▪Contributed to CI/CD automation, infrastructure-as-code workflows, and deployment pipelines supporting rapid iteration and secure production releases in fast-paced startup environments.

Senior Software Engineer – Distributed Backend Systems

Gameloft • Período integral

Apr 2016 - Feb 2019 • 2 yrs 10 mos

▪Designed and implemented distributed backend systems and cloud-native APIs using Python and Go supporting enterprise-scale AI-enabled applications and real-time data processing platforms. ▪Built scalable microservices architectures supporting asynchronous workflows, distributed execution, and event-driven backend communication patterns. ▪Developed backend infrastructure integrating AI models and data pipelines into production systems with strong emphasis on scalability, observability, and operational resilience. ▪Designed secure authentication and authorization systems supporting enterprise-grade API access management and distributed application security requirements. ▪Built cloud-native services using Kubernetes, Docker, Azure-style cloud services, and CI/CD deployment automation supporting large-scale distributed workloads. ▪Improved system observability through centralized logging, metrics collection, distributed tracing, and production monitoring across microservices environments. ▪Optimized PostgreSQL and NoSQL database systems for high-throughput backend services, reducing query latency and improving reliability under load. ▪Worked closely with cross-functional engineering teams to deliver production-ready backend infrastructure for AI and data-intensive applications. ▪Implemented deployment automation and infrastructure workflows supporting scalable cloud-native application delivery and operational efficiency. ▪Participated in production debugging, incident response, and performance optimization of distributed backend systems operating at scale.