Java Backend Developer

Description

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.

About The Position

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
  
  

• 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
  
  

• 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
  
  

• 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