דרושים Java Backend Developer בתל אביב

**Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes real-time transactional data to empower over 150 million customers across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv.

**As part of our growing R&D organization, we’re looking for a skilled and passionate Java Backend Developer to join one of our core backend teams — Logic, Infrastructure, or Models (Data Enrichment) — depending on your experience and interests.

You’ll design and develop high-scale backend services that power the business services of our banking solutions, working with a team that values clean code, scalability, and impact.

Why Personetics

• Join a global leader in AI-driven financial technology
• Work in a collaborative and innovative environment
• Have real ownership over products used by millions worldwide
• Continuous opportunities for learning and growth

Responsibilities

• Design, build, and maintain scalable, high-performance backend services used by millions worldwide
• Collaborate with product managers, data scientists, and fellow developers to deliver robust and innovative solutions
• Own features end-to-end: from requirements and design to deployment and production monitoring
• Troubleshoot and resolve backend issues, ensuring reliability and performance
• Participate in architectural discussions and contribute to infrastructure improvements

Requirements

• BSc in Computer Science, Software Engineering, or equivalent
• 3–5+ years of experience in backend development, preferably with Java
• Deep understanding of OOP, data structures, and software architecture principles
• Experience with RESTful APIs, SQL/NoSQL databases, and CI/CD tools (e.g., Jenkins, Git)
• Strong analytical and problem-solving skills
• A team player with excellent communication skills and a passion for learning

**NICE TO HAVE

**(Depending on the Team)

• Infrastructure & Scalability: Kubernetes, Helm, Cloud platforms (AWS/GCP/Azure), distributed systems
• Data & Models: Python, data analytics, ML workflows
• General: Observability tools, Agile development experience, familiarity with microservices