Senior Java Developer - Assistant Vice President

Responsibilities

• Conduct technical Proof-of-Work to evaluate new technologies and architectural patterns and subsequently implement successful findings into actual projects.
• Conduct tasks related to feasibility studies, performance benchmarking, time and cost estimates, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas.
• Participate in all phases of the development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users.
• Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement.
• Recommend and develop security measures in post-implementation analysis of business usage to ensure successful system design and functionality.
• Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems.
• Ensure essential procedures are followed and help define operating standards and processes.
• Serve as an advisor or coach to new or lower-level analysts.

Qualifications

• Core Technical Expertise: Experience: 5-8 years of hands-on software development experience.
• Java & Frameworks: Deep expertise in Java 17 and the Spring Boot framework.
• Microservices: Proven experience in developing RESTful microservices, with a strong understanding of inter-service communication protocols like gRPC and Protocol Buffers (ProtoBuf).
• Architecture: Strong, practical understanding of Domain-Driven Design (DDD) principles.
• Build & Deployment: In-depth knowledge of build tools (e.g., Maven) and hands-on experience setting up and using CI/CD pipelines.
• Containerization: Proficiency in working with Docker and container orchestration platforms such as Kubernetes, OpenShift, or EKS.
• AI in Development: Working knowledge of AI-powered development tools (e.g., GitHub Copilot, Devin) is mandatory.
• Data Processing: Experience in processing large datasets, including the use of Parquet files.
• Big Data: Experience with Big Data platforms (e.g., Cloudera) is desirable.