Back-End Architect

As a Back-End Architect at our company, you will have a critical role in designing, developing, and maintaining robust and scalable APIs for our agentic workflow platform. Your expertise in building scalable backend systems using Python and related frameworks will directly impact the performance, reliability, and scalability of our applications. Key Responsibilities: - Design, develop, and maintain robust and scalable APIs using Python and related frameworks like Django and Flask. - Champion best practices for asynchronous programming in Python, such as Kafka, RabbitMQ, SQS, and Cloud Tasks. - Integrate cutting-edge AI/ML models and LLMs into the workflow engine in collaboration with data science teams. - Design and implement RESTful APIs and GraphQL endpoints for seamless communication between microservices and external systems. - Write clean, well-documented, and testable code following software development best practices. - Collaborate with front-end engineers for integrating backend APIs and services. - Develop testing frameworks and processes to ensure high-quality code delivery. - Work closely with DevOps engineers for deployment, monitoring, and scaling of backend systems using containerization technologies like Docker and Kubernetes. - Participate in code reviews and contribute to the continuous improvement of our codebase and development processes. - Stay updated with the latest technologies and trends in Python development, asynchronous programming, and AI/ML integration. Qualifications: - BS in Computer Science or a related field. - 8+ years of experience in Python development with a strong understanding of object-oriented programming, design patterns, and best practices. - Deep understanding and hands-on experience with asynchronous programming paradigms and technologies in Python (e.g., Kafka, RabbitMQ, SQS, Cloud Tasks). - Experience designing, building, and deploying microservices-based architectures. - Familiarity with RESTful APIs and GraphQL. - Experience working with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB). - Experience in distributed cloud environments like AWS and Google Cloud Platform. - Familiarity with containerization technologies like Docker and Kubernetes. - Solid understanding of data structures, algorithms, and software design principles. - Experience with unit testing and test-driven development (TDD). - Strong analytical and problem-solving skills with the ability to work independently and as part of a team. - Excellent communication and collaboration skills to effectively communicate technical concepts to both technical and non-technical audiences. - Experience working in an Agile development environment and breaking Epics into deliverable slices of functionality. No additional details about the company were mentioned in the job description. As a Back-End Architect at our company, you will have a critical role in designing, developing, and maintaining robust and scalable APIs for our agentic workflow platform. Your expertise in building scalable backend systems using Python and related frameworks will directly impact the performance, reliability, and scalability of our applications. Key Responsibilities: - Design, develop, and maintain robust and scalable APIs using Python and related frameworks like Django and Flask. - Champion best practices for asynchronous programming in Python, such as Kafka, RabbitMQ, SQS, and Cloud Tasks. - Integrate cutting-edge AI/ML models and LLMs into the workflow engine in collaboration with data science teams. - Design and implement RESTful APIs and GraphQL endpoints for seamless communication between microservices and external systems. - Write clean, well-documented, and testable code following software development best practices. - Collaborate with front-end engineers for integrating backend APIs and services. - Develop testing frameworks and processes to ensure high-quality code delivery. - Work closely with DevOps engineers for deployment, monitoring, and scaling of backend systems using containerization technologies like Docker and Kubernetes. - Participate in code reviews and contribute to the continuous improvement of our codebase and development processes. - Stay updated with the latest technologies and trends in Python development, asynchronous programming, and AI/ML integration. Qualifications: - BS in Computer Science or a related field. - 8+ years of experience in Python development with a strong understanding of object-oriented programming, design patterns, and best practices. - Deep understanding and hands-on experience with asynchronous programming paradigms and technologies in Python (e.g., Kafka, RabbitMQ, SQS, Cloud Tasks). - Experience designing, building, and deploying microservices-based architectures. - Familiarity with RESTful APIs and GraphQL. - Experience working with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB). - Experience in distrib