About The Position

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.

Requirements

  • ~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.
  • Knowledge of Java and REST APIs
  • Understanding of microservices architecture, distributed systems, and messaging systems (Kafka, RabbitMQ).
  • Experience with API design and tools like OpenAPI/Swagger.
  • Basic understanding of AI/ML concepts and exposure to integrating models or APIs into applications.
  • Familiarity with cloud platforms (AWS, Azure, or GCP), Docker, and Kubernetes basics.
  • Experience with relational (Oracle, PostgreSQL) and/or NoSQL databases (MongoDB, Cassandra).
  • Understanding of CI/CD pipelines and version control systems (e.g., GitHub).
  • Strong analytical and troubleshooting skills with attention to detail.
  • Ability to communicate technical ideas effectively with team members.
  • Bachelor’s degree in Computer Science, Engineering, or related field.

Nice To Haves

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

Responsibilities

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