Author
Volodymyr Zhmak
Head of Development Department
- Solution Architecture
- Enterprise Systems
- Cloud (AWS/Azure)
- DevOps
- High-Load Systems
- .NET / Node.js
Bio
Vladimir Zhmak is a solution architect and technical leader with 20+ years of experience in software development, project delivery, and engineering leadership. He has delivered around projects across banking, social insurance, government, administration, logistics, medicine, and healthcare, combining deep technical expertise with strong business-oriented solution design.
He has extensive experience in enterprise application development, web platforms, system integration, and architecture for scalable, maintainable, and high-load systems. His technical background includes software engineering practices, design patterns, enterprise architecture, cloud platforms, containerization, CI/CD.
Vladimir is experienced in leading large engineering teams, managing complex technical projects, mentoring engineers, and supporting less experienced colleagues as a consultant and technical advisor. His leadership style combines practical architecture decision-making, engineering discipline, and a focus on delivery quality.
He brings strong expertise in performance optimization, system reliability, and the design of solutions that can operate effectively under demanding workloads. He is also interested in process improvement, lean manufacturing principles, and the adoption of AI-powered development flows to improve engineering productivity, code quality, automation, and delivery speed.
With a broad technology background covering .NET, JavaScript/Node.js, Python, SQL and NoSQL databases, AWS, Azure, Docker, Kubernetes, and modern DevOps tooling, Vladimir is well positioned to guide teams in building robust platforms, improving engineering practices, and aligning technical architecture with long-term business goals.
Credentials
- 20+ years in software development & engineering leadership
- Solution architect across banking, healthcare, logistics & government
- Expertise in scalable, high-load system design