We are seeking a highly skilled Lead Java Developer to spearhead the creation of a multi-tenant, knowledge-based set of AI applications.
The ideal candidate will possess a robust background in Java and Spring Boot microservices, coupled with substantial experience building cloud-native applications and services. This role involves designing and implementing a backend data ingestion and processing pipeline that effectively transforms private and public documents into reliable analytical data.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

• Lead the design and development of scalable multi-tenant AI applications using Java and Spring Boot
• Create and manage microservice architecture to support application functionality
• Implement robust data ingestion and analytics pipelines for large-scale data processing
• Ensure secure multi-tenant based authentication schemes leveraging industry best practices
• Collaborate with cross-functional teams to define, design, and deliver new features and enhancements
• Conduct code reviews, and mentor junior developers to improve code quality and application performance
• Troubleshoot, debug, and upgrade existing software solutions
• Write clean, efficient, and maintainable code
• Document development phases and monitor systems
• Participate actively in Agile development meetings and provide deliverables within timeline

• Proficiency in Java and Spring with at least 5 years of working experience
• 1+ years of relevant leadership experience
• Expertise in microservice architecture pattern and cloud-native applications development
• Background in developing applications on cloud platforms, with a preference for Google Cloud Platform (though AWS or Azure experience is also acceptable)
• Knowledge of large-scale data ingestion and data analytics pipelines
• Capability to implement secure multi-tenant based authentication schemes
• Understanding of front-end technologies and platforms
• Fluent English communication skills at a B2+ level

• Flexibility to use Auth0 for authentication solutions
• Familiarity with data software engineering best practices
• Competency in working within the Google Cloud Platform environment

• Connectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept)
• Medicina Prepaga (It covers the collaborator and direct family group)
• Paternity Leave (Two additional days are added to what is established by law, total of 4 days)
• Discounts card
• English Training (English lessons, twice per week)
• Training Program (Access to multiple customized training plans according to the needs of each role within the company)
• Marriage bonus (The company doubles the allowance established by law that ANSES offers)
• Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company)
• External Agreements and Discounts
• Vacations: 14 calendar days a year