Tier 2 Support Engineer

About The Role

We’re looking for a Tier 2 Support Engineer with strong analytical and technical skills to support customer implementations of K2View products.

The role involves investigating issues, analyzing logs and configurations, optimizing performance, and assisting with installations and upgrades.

It requires deep product knowledge, strong self-learning abilities, the ability to work independently, and the capacity to understand the overall product architecture and concepts, not only the technical implementation.

You’ll collaborate closely with DevOps, R&D, and Product teams to ensure stable and optimized customer environments.

Key Responsibilities

• Troubleshoot and resolve technical and implementation issues in customer environments by analyzing logs, modifying configurations, investigating data flows and code, and providing resolution suggestions.
• Assist with installation, configuration, and upgrades of environments.
• Work directly with customers, ensuring clear communication and structured issue handling.
• Collaborate with cross-functional teams (DevOps, R&D, Product) to reproduce and resolve issues.
• Document investigations and contribute to the internal knowledge base.
• Continuously learn and stay up to date with new technologies, product features, and customer use cases.
  
  

• B.Sc. in Information Systems, Computer Science, Industrial Engineering, or equivalent practical experience.
• 2+ years of hands-on experience with data streaming (i.e Kafka) and ETL tools (i.e. Informatica) , development in Java, C++, or other object-oriented languages.
• Strong SQL expertise, including performance optimization, indexing, and query tuning.
• Experience with large-scale databases (SQL and NoSQL).
• An experience with Linux/Unix environments.
• Excellent analytical thinking, communication, and self-learning skills.
• Ability to work independently, prioritize effectively, and take ownership of complex technical challenges.
  
  

• Kafka hands-on experience
• Hands-on work with cloud environments (AWS, Azure, GCP).
• Familiarity with CI/CD pipelines, containerization, and monitoring tools.
• Experience with Git and version control best practices.