Full Stack Developer Associate

Shift Timing: 1PM to 10PM

As a Full stack developer associate  in Asset and Wealth Management team, you will have a strong background in both front-end and back-end development, with expertise in JavaScript, HTML, CSS, Java, and APIs. Additionally, proficiency in Python for application development, particularly using Streamlit and other UI and data libraries, is essential. Experience in building Enterprise Workflow applications, microservices architecture, and strong debugging skills are required. A background in data science is a plus. Experience with Docker and Kubernetes for deployment is also required.

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:

• Bachelors 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.