Tal Gitelman is a senior software engineer with expertise in backend development, cloud infrastructure, DevOps, and AI-powered platforms. He specializes in designing and building scalable, high-performance backend systems, with extensive experience in distributed architectures, microservices, APIs, event-driven systems, and database optimization.
With a strong background in DevOps and platform engineering, Tal has extensive experience with Kubernetes, Docker, CI/CD pipelines, infrastructure as code, cloud-native technologies, and observability. He is passionate about automating software delivery, improving system reliability, and building resilient platforms that enable engineering teams to deliver software efficiently and at scale.
Tal has also expanded his expertise into AI and MLOps, developing AI-driven applications and integrating machine learning workflows into production environments. His work includes deploying and operating ML models, building AI-enabled services, implementing MLOps pipelines, and leveraging modern AI technologies to create intelligent, scalable solutions.
He combines deep technical expertise with a pragmatic, solution-oriented approach, working across the full software lifecycle—from architecture and backend implementation to infrastructure, deployment, and production operations. Passionate about continuous learning and innovation, Tal enjoys solving complex engineering challenges and building scalable, secure, and production-ready systems that deliver measurable business value.
