- Design, develop, and implement large-scale distributed systems to handle substantial data volumes, ensuring scalability, low latency, and fault tolerance
- Architect and implement APIs and event-driven solutions to meet system requirements and enhance functionality
- Diagnose and resolve complex production issues across services and the technology stack, delivering both code and data fixes
- Create and execute comprehensive unit tests, API tests, regression tests, and performance tests to ensure the reliability and efficiency of the system
- Work closely with cross-functional teams to promptly address and resolve production incidents, ensuring minimal downtime and swift recovery
- 3+ years of software development experience
- Proficiency in Java, and Kafka, with expertise in frameworks like Spring Boot
- Familiarity with AWS and EKS
- Strong knowledge of CI/CD pipelines and related tools
- Hands-on experience in designing, building, and deploying scalable, highly available systems
- Experience with event-driven architectures and a deep understanding of at least one event streaming solution (e.g., Kafka, SNS)
- Proficiency in both SQL and NoSQL databases
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Strong analytical and problem-solving skills
- At least C1 level of English
PERSONAL PROFILE
- Excellent communication skills and the ability to work with cross-functional teams
- Strong problem-solving skills