Job
Description
Job Summary We are looking for a Backend Engineer proficient in Python with experience in Azure, GCP, and AWS . You will be responsible for designing, developing, and optimizing scalable backend services, APIs, and cloud-native applications that power AI-driven products. This role requires expertise in cloud platforms, database optimization, and high-performance computing for AI workloads. Key Responsibilities Design, develop, and maintain scalable and efficient backend services using Python and FastAPI/Flask/Django . Build and optimize RESTful APIs and microservices for AI-driven applications. Deploy and manage backend applications across Azure, GCP, and AWS with a cloud-agnostic approach. Work with serverless architectures (AWS Lambda, Google Cloud Functions, Azure Functions) for cost-effective and scalable solutions. Optimize database performance (SQL and NoSQL) and manage cloud-native databases like PostgreSQL, Firestore, DynamoDB, CosmosDB . Implement secure authentication and authorization using OAuth, JWT, or API gateways. Develop event-driven and streaming architectures using Kafka, Pub/Sub, or Event Grid. Ensure high availability, scalability, and security of backend services using cloud-native best practices. Set up CI/CD pipelines and automated deployments across multiple cloud environments. Work closely with AI/ML engineers, DevOps, and frontend teams to integrate backend services into AI-powered products. Must-Have Skills and Qualifications Educational Background: Bachelors degree in Computer Science, Engineering, or related field (2024/2025 graduates). Programming & Backend Development: Strong proficiency in Python and experience with FastAPI, Flask, or Django . Cloud Expertise: Hands-on experience with Azure, GCP, and AWS , including deploying and managing backend services. Database Management: Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Firestore) databases. API Development: Experience in building secure, scalable APIs and integrating with third-party services. CI/CD & DevOps: Experience setting up CI/CD pipelines (GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps) . Containerization & Orchestration: Familiarity with Docker, Kubernetes, and cloud-native deployments . Security & Compliance: Understanding of API security, IAM roles, and cloud security best practices . Version Control & Collaboration: Proficiency in Git and working with agile development teams . Good to Have Experience with GraphQL and event-driven architectures. Familiarity with Cloud AI/ML services (Vertex AI, SageMaker, Azure AI). Exposure to message queues (Kafka, Pub/Sub, SQS). Contributions to open-source projects or a strong GitHub portfolio showcasing backend development work. Made with
