Java Developer

2 weeks ago

New York, NY, United States Okaya Full time
Java Developer
Location: NY (Hybrid)

Industry: Banking & Financial Services

End client: BNYM

Rate: $60/hr

Independent visa(GC or USC)

Experience: 10+ years

About the Role

AMS LLC is seeking a highly skilled Senior Java Developer with extensive experience in banking and financial services to develop and enhance AI-powered platforms for our clients. The ideal candidate will have strong expertise in Java, Angular, and AI-driven solutions, with a proven track record of optimizing banking operations.

Key Responsibilities

  • Design, develop, and optimize scalable Java-based applications within the client's AI platform.
  • Build and enhance front-end components using Angular to create seamless user interfaces.
  • Develop robust APIs and microservices architecture for seamless AI model deployment.
  • Optimize system performance for low-latency, high-availability transaction processing.
  • Implement best practices in secure coding, DevOps, and CI/CD for AI-integrated platforms.
  • Collaborate with cross-functional teams to ensure compliance with banking regulations and security protocols.
  • Troubleshoot complex system issues and deliver innovative technical solutions.
Required Skills & Experience
  • 10+ years of Java development experience, preferably in banking or financial services.
  • Strong knowledge of Spring Boot, Microservices, REST APIs, and multi-threading.
  • Hands-on experience with Angular (v8+) for developing responsive and dynamic UI.
  • Experience with AI/ML platforms, cloud computing (AWS, Azure, GCP), and big data processing.
  • Expertise in Kafka, Docker, Kubernetes, and DevOps tools (Jenkins, Git, Terraform).
  • Proficiency in database technologies such as SQL, NoSQL, and in-memory databases.
  • Strong understanding of financial products, banking operations, and regulatory requirements.
  • Excellent problem-solving skills and ability to thrive in a fast-paced AI-driven environment.
Preferred Qualifications
  • Experience with AI frameworks like TensorFlow, PyTorch, or MLflow.
  • Knowledge of Natural Language Processing (NLP) and predictive analytics in banking.
  • Familiarity with risk management, fraud detection, or algorithmic trading solutions.

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