We are in search of a highly adept Chief Java Developer to lead the development of a multi-tenant, knowledge-driven set of AI applications.
The ideal candidate will have solid experience in Java and Spring Boot microservices, along with extensive knowledge in crafting cloud-native applications and services. This position entails the design and execution of a backend data ingestion and processing pipeline that efficiently converts both private and public documents into dependable 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.

• Guide the creation and growth of scalable multi-tenant AI applications utilizing Java and Spring Boot
• Develop and maintain microservice architecture to enhance application performance
• Build sturdy data ingestion and analytics pipelines for processing vast amounts of data
• Establish secure multi-tenant based authentication frameworks using industry best practices
• Work with diverse teams to conceptualize, design, and implement new features and improvements
• Oversee code reviews and mentor junior developers to elevate code standards and application efficiency
• Resolve issues, refine, and update existing software solutions
• Produce clean, effective, and sustainable code
• Chronicle development phases and supervise system performance
• Engage in Agile development sessions and meet project deadlines

• Proficiency in Java and Spring, with a minimum of 7 years professional experience
• At least 2 years of significant leadership experience
• Expertise in microservice architectural patterns and development of cloud-native applications
• Background in creating applications on cloud infrastructures, favoring Google Cloud Platform (GCP), although AWS or Azure are also considered
• Knowledge of large-scale data ingestion and analytics pipelines
• Capability to implement secure multi-tenant based authentication schemes
• Understanding of front-end technologies and platforms
• Fluent in English with a communication skill level of B2+ or higher

• Flexibility to use Auth0 for authentication solutions
• Familiarity with data software engineering best practices
• Competency in 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