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

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.