I’m Berk Kibarer, a technology executive, software architect, and engineering leader with over 20 years of experience in software engineering, enterprise architecture, distributed systems, and technology transformation. My work has evolved from large-scale test automation architecture into distributed execution platforms, cloud-native orchestration, resilience engineering.
Throughout my career, I’ve worked at the intersection of technology strategy, software architecture, and engineering leadership. From hands-on development to leading engineering teams and designing enterprise-scale platforms, my focus has been on building scalable, resilient, and maintainable systems while aligning technical decisions with long-term business objectives.
Currently, I serve as Principal Architect for Distributed Systems & Platform Engineering at Intertech, where I lead the architecture of a cloud-native execution and orchestration platform. Initially focused on enterprise-scale test automation (web, mobile, api, integration, desktop), ARES is designed as a domain-agnostic platform to support durable loads, including data generation and long-running execution tasks.
Previously, as a Software Development Manager at Turkcell Technology, I led engineering teams and technology transformation initiatives involving microservices, cloud-native applications, and enterprise platform modernization. One of my key contributions was Friday, an enterprise SaaS platform for test automation and quality engineering, comprising more than 12 integrated products. The platform unified engineering workflows, incorporated machine learning capabilities, and automated 65% of operational processes. During this period, I also worked on architecture governance, technical debt reduction, and engineering efficiency.
Earlier in my career, I held architectural and engineering leadership roles at Testinium, Saha Bilgi Teknolojileri, Markafoni, and other technology organizations. My responsibilities ranged from designing high-performance backend systems and enterprise integrations to leading development teams, establishing engineering standards, and managing complex software ecosystems. These experiences gave me a broad technical foundation and a practical understanding of how architecture, people, and organizational structures influence engineering outcomes.
Alongside my professional work, I maintain a strong interest in research, analytical modeling, and emerging technologies. My areas of exploration include artificial intelligence, machine learning, probabilistic forecasting, quantitative modeling, and software delivery analytics. I also write and publish technical articles, sharing practical insights into distributed systems, software architecture, engineering processes, and data-driven decision-making.
My approach to engineering is grounded in analytical thinking, architectural simplicity, and long-term sustainability. I believe that effective architecture is not about adopting the latest technologies or introducing unnecessary abstractions. It is about understanding constraints, managing complexity, making deliberate trade-offs, and designing systems that can evolve without becoming increasingly difficult to operate or maintain.
Beyond the technical aspects, I’m particularly interested in how engineering organizations evolve, how teams make decisions, and how technology leadership can create lasting improvements in productivity, reliability, and business outcomes.
I believe the ultimate purpose of technology is not to introduce complexity, but to solve meaningful problems through simple, sustainable, and well-engineered solutions.
