DescriptionJob Summary
We are seeking an experienced Full Stack Cloud Developer to join our team. The ideal candidate will be responsible for developing deploying and maintaining our serverless applications on AWS integrating MongoDB Python backend Angular frontend and utilizing TeamCity for deployment and SonarQube for automated code reviews. Additionally the candidate will work with Generative AI concepts such as semantic comparison Retrieval-Augmented Generation (RAG) reranking and prompt engineering.
Key Job Responsibilities
- Design and Implement Cloud Solutions: Develop and maintain serverless applications using AWS services ensuring scalability security and cost-effectiveness.
- Backend Development: Write and maintain robust clean and efficient code in Python integrating with MongoDB for data storage.
- Frontend Development: Develop dynamic and responsive user interfaces using Angular.
- Deployment and CI/CD: Manage deployment pipelines using TeamCity ensuring smooth and automated deployments.
- Code Quality: Implement and maintain automated code reviews using SonarQube to ensure high-quality code standards.
- Generative AI Integration: Apply Generative AI concepts such as semantic comparison RAG reranking and prompt engineering to enhance application functionality.
- Collaboration: Work closely with cross-functional teams to ensure seamless integration of all the components.
- Monitoring and Optimization: Monitor application performance user management security troubleshoot issues and optimize cloud infrastructure for efficiency and reliability.
Education/Qualification
Bachelors or masters in computer science Engineering or a related field.
Preferred Qualifications:
- Certifications:AWS Certified Developer or AWS Certified Solutions Architect.
- Experience:Previous experience with serverless architecture and CI/CD pipelines.
Key Skills and Knowledge
- Proven experience in developing and maintaining cloud-based applications using AWS.
- Proficiency in Python Angular MongoDB AWS services TeamCity and SonarQube.
- Strong grasp of RESTful APIs and microservices architecture.
- Hands on experience with Generative AI concepts like embedding managing vector database prompt engineering RAG and reranking.
- Familiarity with implementing LLM agents for automating tasks and orchestrating workflows.
- Understanding of deploying models and integrating them into existing applications.
- Experience with containerization tools such as Docker and Kubernetes.
- Experience in maintaining an enterprise application.
- Excellent problem-solving abilities with keen attention to detail.
- Effective communication skills and a strong ability to collaborate within teams.