This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
At Infinidat, we help enterprises and service providers empower their data-driven competitive advantage at scale. We are a leading provider of enterprise-class storage solutions. Our software-focused architecture delivers sub-millisecond latency, full availability, and scalability- at a significantly lower total cost of ownership than competing storage technologies. We’re looking for a talented and motivated Java Developer with strong software engineering fundamentals and a passion for learning complex systems. You’ll take part in the design and development of Infinidat’s Management group and work on a high-performance, multi-threaded, clustered, server-side product.
Job Responsibility:
Design and implement Java backend components according to product requirements
Develop new features and improve existing code (maintenance, bug fixes, refactoring, and performance enhancements)
Write unit tests and perform integration tests
Ensure high standards of code quality, performance, reliability, and engineering best practices
Work in an Agile development environment
Collaborate with the team: participate in design discussions, code reviews, and mentoring/supporting teammates
Requirements:
3+ years of experience in Java development
BSc in Computer Science
Strong problem-solving skills, ability to work independently, and strong self-learning capabilities
Strong fundamentals in backend development, including multithreading, performance, and memory analysis
Understanding of client/server concepts and web technologies (HTTP, REST, JSON)
Team player with strong communication skills
High level of English
Nice to have:
Passion for infrastructure / production-oriented engineering
Hands-on experience with Apache HTTP Server and Apache Tomcat architecture
Experience with distributed/clustered systems and clustered databases (e.g., Elasticsearch)