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Leading of the end-to-end design and architecture of complex microservice-based systems, ensuring scalability, resilience, and high performance across distributed environments.
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Driving the internal AI innovation initiatives, including early adoption of AI Agents, MCP (Model-Context-Protocol), and RAG architectures.
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Shaping of technical strategy and definition of architectural standards to align technology decisions with long-term business goals.
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Mentoring senior developers, providing guidance on complex technical challenges, and promoting a culture of continuous learning and innovation within the team.
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Development of highly automated CI/CD pipelines for deployment, testing, and scaling, resulting in improved delivery velocity and system reliability.
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Establishment of comprehensive observability practices (monitoring, logging, tracing) to ensure transparency, fault tolerance, and high availability.
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Design and delivery of cloud-native architectures using Docker and Kubernetes to support scalable, secure, and fault-tolerant applications.
