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Михайло
DevOps engineer
- Considering positions:
- DevOps engineer, Java-розробник
- City of residence:
- Dnipro
- Ready to work:
- Remote
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Mobile phone: [open contact info ](look above in the "contact info" section)
Gmail: [open contact info ](look above in the "contact info" section)
Telegram: @kuzmenkomi
Languages: English – B1+, Slovak – B1, Ukrainian – Native
Java Backend Developer
remote work
Experience and skills
Period 2024-2026
Position Java Backend Developer (TradeWiz)
Technology stack:
Java 17, Spring Boot, Spring Security, Spring Data JPA, Spring Validation, PostgreSQL, Apache Kafka,
Redis, REST API, Maven, Docker, Docker Compose, Git, GitHub, Kubernetes (base level), Linux
(Ubuntu), AWS(base level)
Responsibilities:
• Developed backend services for a real-time trading terminal — market data ingestion, order
processing, and price alerts under low-latency requirements
• Design and implementation of microservices (Auth, Notification, Alert)
• Configuring service interaction via Apache Kafka (producers, consumers)
• Containerized services with Docker/Docker Compose (API + PostgreSQL + Kafka + Redis),
mirroring production setup
• Implemented structured logging, centralized error handling, and request validation to
improve reliability
• Profiled and optimized slow queries and API endpoints, improving response times
Participation in the project:
• Collaborated in a Git-based workflow — feature branches, pull requests, code reviews
• Authored API and architecture documentation in Markdown
Gmail: [
Telegram: @kuzmenkomi
Languages: English – B1+, Slovak – B1, Ukrainian – Native
Java Backend Developer
remote work
Experience and skills
Period 2024-2026
Position Java Backend Developer (TradeWiz)
Technology stack:
Java 17, Spring Boot, Spring Security, Spring Data JPA, Spring Validation, PostgreSQL, Apache Kafka,
Redis, REST API, Maven, Docker, Docker Compose, Git, GitHub, Kubernetes (base level), Linux
(Ubuntu), AWS(base level)
Responsibilities:
• Developed backend services for a real-time trading terminal — market data ingestion, order
processing, and price alerts under low-latency requirements
• Design and implementation of microservices (Auth, Notification, Alert)
• Configuring service interaction via Apache Kafka (producers, consumers)
• Containerized services with Docker/Docker Compose (API + PostgreSQL + Kafka + Redis),
mirroring production setup
• Implemented structured logging, centralized error handling, and request validation to
improve reliability
• Profiled and optimized slow queries and API endpoints, improving response times
Participation in the project:
• Collaborated in a Git-based workflow — feature branches, pull requests, code reviews
• Authored API and architecture documentation in Markdown
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