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.

#LI-DNI

Responsibilities

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

Requirements

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

Nice to have

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

We offer

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