Java​/J2EE Architect

Overview

10 to 12 years of hands-on development experience and experience in providing solutions to complex business functions. Strong background in both development and architecture, particularly with the following skill sets:

• Core Java
• Web Application Development (React
  
  JS)
• J2EE
• Oracle
• Unix, Shell Scripting
• Web Services
• AWS
• Databricks

• Expertise in cloud-based application design and architecture, with a focus on scalability, reliability, and performance optimization in AWS
• Hands-on experience with Databricks, particularly in data-driven cloud applications
• Ability to visualize the entire application landscape and guide the technical team in aligning architecture with business goals
• Proactively track and resolve technical impediments to ensure timely project completion
• In-depth understanding of the Securities Lending domain, including its processes, technologies, and solutions within the banking/financial services industry
• Strong leadership and mentoring skills, driving results in collaborative team environments
• Excellent communication skills to liaise with both technical and non-technical stakeholders

• Solid understanding of Object-Oriented Concepts (Inheritance, Abstraction, Interfaces)
• In-depth knowledge of the JVM and Java environment
• Strong expertise in Java language
• In-depth understanding of HTTP/HTTPS protocols
• Proficient in DOM, with experience designing UI with CSS
• Strong experience in developing J2EE applications using concepts like Distributed Transactional Computing
• Expertise in N-tier architecture and container services
• Familiar with EJB, JMS, Security, Transaction, JNDI, and Connectors
• Experience with MVC frameworks such as Struts, Spring MVC
• ORM/Persistence frameworks like JPA, Hibernate
• Strong understanding of RDBMS concepts
• Expertise in SQL
• Proficiency in AWS architecture, including EC2, S3, Lambda, and other AWS services
• Ability to design and implement cloud solutions for scalability, performance, and security
• Experience working with Databricks for big data analytics and cloud-based data engineering solutions
• Familiarity with Apache Spark and Databricks notebooks for data processing and machine learning
• Solid understanding of Securities Lending operations, including trade execution, collateral management, and risk management within financial institutions
• Experience in building solutions that integrate with banking systems and financial products in the Securities Lending domain