Key Responsibilities:

• Develop and maintain web applications using front-end technologies such as JavaScript, HTML, and CSS.
• Design and implement back-end services and APIs using Java and other relevant technologies.
• Manage and optimize database systems to ensure efficient data storage and retrieval.
• Build and deploy applications using Python, with a focus on Streamlit and other UI/data libraries.
• Utilize Python libraries such as Flask or Django for web development, Pandas and NumPy for data manipulation, Matplotlib and Seaborn for data visualization, and Scikit-learn or TensorFlow for machine learning tasks.
• Design and develop Enterprise Workflow applications to streamline business processes and improve operational efficiency.
• Develop and maintain microservices to support scalable and modular application architecture.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Implement and maintain containerized applications using Docker and Kubernetes.
• Debug and troubleshoot software defects and issues to ensure smooth operation of applications.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in full stack development.
• Proficiency in front-end technologies: JavaScript, HTML, CSS.
• Strong experience in back-end development with Java and API integration.
• Solid understanding of database management and optimization.
• Proficiency in Python for application development, with experience in Streamlit and data libraries such as Flask, Django, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and TensorFlow.
• Experience in building Enterprise Workflow applications.
• Experience with microservices architecture.
• Strong debugging and problem-solving skills.
• Experience with Docker and Kubernetes for application deployment, Excellent communication and teamwork abilities.

Preferred Skills:

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with version control systems like Git.
• Knowledge of agile development methodologies.
• Familiarity with data science concepts and tools is a plus.