Java/Python Full-Stack Developers (Ex-Capital One or Ex-Discover Financial)

United States | Aug. 24, 2026

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Company: Baanyan Software Services, Inc.

Type: Onsite

Employment: Full-time

Description: Responsibilities • Develop scalable backend services and APIs using Java and Python. • Build responsive front-end applications and integrate them with backend services. • Design and implement REST APIs and microservices. • Develop and deploy applications using AWS cloud services. • Integrate AI/ML models and services into business applications. • Work with databases, data processing, and cloud-based data solutions. • Implement CI/CD pipelines and automated testing. • Troubleshoot performance, scalability, and production issues. • Collaborate with architects, developers, data scientists, and business teams. • Follow Agile/Scrum development practices and participate in code reviews. Mody''s looking for Java/Python Full-Stack Developers with strong experience in Java, Python, AWS cloud services, and AI/ML integration for the Capital One. The selected candidates will design, develop, and maintain scalable data processing solutions and support large-scale data engineering initiatives. Need to work on Mody''s payroll as W2 employee. Ex-Capital One or Discover Financial are mostly prefer. Required Skills • 5+ years of software development experience. • Strong hands-on experience with Java and/or Python. • Experience with Spring Boot, Django, Flask, or similar frameworks. • Strong knowledge of REST APIs and microservices. • Front-end experience with JavaScript/TypeScript, React, Angular, or Vue.js. • Hands-on experience with AWS services such as EC2, S3, Lambda, API Gateway, ECS/EKS, and CloudWatch. • Experience integrating AI/ML models, APIs, or GenAI solutions into applications. • Strong SQL and database development skills. • Experience with Git, CI/CD, Docker, and Kubernetes is preferred. • Good understanding of software development lifecycle and Agile methodologies. Preferred Qualifications • Experience with AWS Bedrock, SageMaker, OpenAI APIs, or other AI/ML platforms. • Experience with Python-based ML libraries such as scikit-learn, PyTorch, or TensorFlow. • Knowledge of Kafka or other event-driven technologies. • Experience with cloud-native application architecture. • Strong problem-solving and communication skills.

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