14 дней назад
Technical Support Engineer (Java/J2EE)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Support Engineer (Java/J2EE): Providing world-class technical support and advice for Pega products with an accent on troubleshooting complex technical issues and customer engagement. Focus on debugging, memory management, and resolving high-level technical cases within J2EE environments.
Company
A global leader in providing AI-powered decisioning and CRM software solutions.
What you will do
- Act as the first point of contact for customers to address and resolve technical issues.
- Drive support cases to timely resolution using deep understanding of Pega products and customer architectures.
- Collaborate and negotiate with internal groups to drive quality clarifications and solutions.
- Apply critical thinking to AI-generated outputs to enhance engineering efficiency and decision-making.
- Provide technical support and advice on the use of ’ Products and Applications.
- Work in rotational shifts (morning and afternoon) to ensure global coverage.
Requirements
- 2-3 years of experience in a technical role involving Java and J2EE expertise.
- Strong proficiency in Core Java, JSP, Servlets, JDBC, and OOP concepts.
- In-depth knowledge of Multithreading, Exception Handling, and memory management (heap-dump and performance analysis).
- Proven ability to interact directly with customers at all levels and manage expectations.
- Ability to work in rotational shifts.
Nice to have
- Experience with J2EE Application Servers such as Websphere, Weblogic, or Tomcat.
- Knowledge of relational databases including Oracle, DB2, and UDB.
- Familiarity with AWS, Kubernetes, Docker, and various monitoring tools.
- Prior experience in troubleshooting and debugging complex systems.
Culture & Benefits
- Competitive global benefits program including pay, bonus incentives, and employee equity.
- Continuous learning and development opportunities.
- Innovative, inclusive, agile, and flexible work environment.
- Active investment in AI-enabled learning and responsible adoption across engineering practices.
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