Job Description

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Event Description:

Solutions Architecture Analyst – Assistant Vice President

We are seeking a Solutions Architect with a strong foundation in Java, Microservices Development, and exposure to Artificial Intelligence (AI) / Machine Learning (ML). In this role, you will contribute to the architecture, design, and development of scalable, high-performance applications, while supporting the integration of AI/ML capabilities into enterprise systems. You will collaborate with cross-functional teams and support architectural initiatives within a dynamic financial services environment

Key Responsibilities

• Architecture & Design:
  Assist in designing scalable, high-availability Java microservices and supporting the integration of AI/ML components into enterprise applications.
• Development & Implementation:
  Develop clean, maintainable, and efficient code for microservices, APIs, and AI-enabled features using Java and related technologies.
• Performance Optimization:
  Monitor system performance and help identify and resolve performance bottlenecks to ensure reliability and scalability.
• Technical Contribution:
  Collaborate with senior architects and engineers to implement best practices in microservices architecture and AI integration.
• Code Quality & Standards:
  Follow established coding standards, security guidelines, and participate in code reviews to maintain high-quality deliverables.
• Troubleshooting & Support:
  Support debugging and resolution of technical issues across applications, including microservices and AI integrations.
• Collaboration:
  Work closely with developers, data scientists, and product teams to build and deliver integrated solutions.
• Innovation & Learning:
  Stay current with emerging technologies in Java, microservices, and AI/ML; proactively suggest improvements and enhancements.
• Documentation:
  Contribute to technical documentation, including APIs, system designs, and operational processes.

Preferred Qualifications

• Experience:
  ~5+ years of software development experience with hands-on work in Java, microservices, and enterprise applications. Exposure to Agile methodologies and basic AI/ML concepts.
• Technical Skills:
  • Knowledge of Java and REST APIs
• Microservices & Systems:
  Understanding of microservices architecture, distributed systems, and messaging systems (Kafka, RabbitMQ).
• API Development:
  Experience with API design and tools like OpenAPI/Swagger.
• AI/ML Exposure:
  Basic understanding of AI/ML concepts and exposure to integrating models or APIs into applications.
• Cloud & Containers:
  Familiarity with cloud platforms (AWS, Azure, or GCP), Docker, and Kubernetes basics.
• Databases:
  Experience with relational (Oracle, PostgreSQL) and/or NoSQL databases (MongoDB, Cassandra).
• DevOps Practices:
  Understanding of CI/CD pipelines and version control systems (e.g., GitHub).
• Problem-Solving:
  Strong analytical and troubleshooting skills with attention to detail.
• Communication:
  Ability to communicate technical ideas effectively with team members.

​ Education:

• Bachelor’s degree in Computer Science, Engineering, or related field.

Nice to Have

• Exposure to AI/ML
• Experience in financial services or regulated environments