Rhino Partners Hiring! Full Time Full Stack Engineer (Python - Cloud - AI - Data Engineering) (1 Year Contract) in - Ricebowl

We are looking for a Full Stack Engineer to join our team and contribute to the design, development, and deployment of scalable, secure, and high-performance applications. This role involves end-to-end application development, spanning frontend and backend engineering, cloud infrastructure, and DevOps automation.

The ideal candidate will have strong Python and SQL skills, experience in backend development and CI/CD practices, and an interest in data engineering and AI/ML technologies. You will work closely with cross-functional teams to build reliable applications, integrate data pipelines, and explore opportunities to leverage AI-driven solutions.

• Design, develop, and maintain full-stack applications, including frontend interfaces, backend services, APIs, and cloud infrastructure.
• Build scalable, secure, and high-performance backend services using Python and modern development frameworks.
• Develop and optimise CI/CD pipelines to automate application testing, deployment, and release processes.
• Collaborate with data engineering teams to integrate data pipelines and processing solutions into production environments.
• Explore opportunities to incorporate AI/ML technologies to enhance application capabilities and optimise data processing workflows.
• Design and integrate RESTful APIs and web services to support seamless communication between application components.
• Implement best practices for application security, scalability, performance monitoring, and observability.
• Write clean, efficient, and maintainable code in accordance with established coding standards.
• Participate in code reviews, troubleshooting, testing, and debugging across development and production environments.
• Maintain technical documentation and collaborate with stakeholders to deliver reliable software solutions.

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
• Proficiency in Python and SQL, with experience in backend application development.
• Knowledge of frontend frameworks such as React, Angular, or Vue.js, and backend frameworks such as Django, Flask, or Node.js.
• Experience developing and integrating RESTful APIs and web services.
• Hands-on experience with relational and NoSQL databases.
• Experience with Git, version control, and collaborative software development workflows.
• Familiarity with CI/CD pipelines, automated deployments, and DevOps practices.
• Understanding of backend scalability concepts, including load balancing, horizontal scaling, and autoscaling.
• Good understanding of software engineering principles, application security, and coding best practices.
• Strong analytical, problem-solving, and communication skills, with the ability to work effectively in a team.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Familiarity with Docker, Kubernetes, and containerised application deployments.
• Exposure to Infrastructure as Code (IaC) tools such as Terraform.
• Knowledge of data engineering concepts, ETL/ELT pipelines, and data processing libraries such as Pandas and NumPy.
• Understanding of AI/ML concepts, including Retrieval-Augmented Generation (RAG).
• Familiarity with cloud-native application architecture and deployment practices.
• Interest in emerging technologies and applying AI/ML solutions to real-world engineering challenges.