Talent Groups
The client is looking for an experienced and motivated Python Developer to join their dynamic engineering team. As a Python Developer, you will be responsible for designing and implementing server-side application logic, integrating with third-party services, and supporting front-end developers to ensure seamless application performance. The ideal candidate has strong backend expertise, familiarity with cloud and containerized environments, and a keen interest in AI and machine learning technologies.
Duration:
4 months to start Job Summary
The client is looking for an experienced and motivated Python Developer to join their dynamic engineering team. As a Python Developer, you will be responsible for designing and implementing server-side application logic, integrating with third-party services, and supporting front-end developers to ensure seamless application performance. The ideal candidate has strong backend expertise, familiarity with cloud and containerized environments, and a keen interest in AI and machine learning technologies. Key Responsibilities
Write clean, maintainable, and efficient Python code to develop scalable server-side logic. Integrate user-facing elements developed by front-end teams with server-side logic. Connect applications with third-party web services and APIs. Collaborate with cross-functional teams including DevOps, QA, and front-end developers to deliver high-quality software. Participate in code reviews, testing, and debugging to ensure application functionality and performance. Work with cloud platforms and Kubernetes (K8s) to deploy and manage applications in a scalable environment. Contribute to the integration and development of AI and machine learning features. Required Qualifications
8+ years of experience in advanced Python programming, including OOP, asynchronous programming, and working with frameworks like Django or Flask. 5+ years of experience working with cloud systems and services (e.g., AWS, Azure, or GCP), including deployment and integration. 5+ years of experience with NoSQL database systems (e.g., MongoDB, DynamoDB, Cassandra). 3+ years of experience using Kubernetes (K8s) for container orchestration in production environments. 2+ year of experience or demonstrated proficiency with machine learning and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and related tools. Preferred Qualifications
Familiarity with CI/CD pipelines and DevOps best practices. Experience with event-driven or microservices architectures. Exposure to message brokers like RabbitMQ, Kafka, or AWS SQS. Understanding of containerization tools like Docker.
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4 months to start Job Summary
The client is looking for an experienced and motivated Python Developer to join their dynamic engineering team. As a Python Developer, you will be responsible for designing and implementing server-side application logic, integrating with third-party services, and supporting front-end developers to ensure seamless application performance. The ideal candidate has strong backend expertise, familiarity with cloud and containerized environments, and a keen interest in AI and machine learning technologies. Key Responsibilities
Write clean, maintainable, and efficient Python code to develop scalable server-side logic. Integrate user-facing elements developed by front-end teams with server-side logic. Connect applications with third-party web services and APIs. Collaborate with cross-functional teams including DevOps, QA, and front-end developers to deliver high-quality software. Participate in code reviews, testing, and debugging to ensure application functionality and performance. Work with cloud platforms and Kubernetes (K8s) to deploy and manage applications in a scalable environment. Contribute to the integration and development of AI and machine learning features. Required Qualifications
8+ years of experience in advanced Python programming, including OOP, asynchronous programming, and working with frameworks like Django or Flask. 5+ years of experience working with cloud systems and services (e.g., AWS, Azure, or GCP), including deployment and integration. 5+ years of experience with NoSQL database systems (e.g., MongoDB, DynamoDB, Cassandra). 3+ years of experience using Kubernetes (K8s) for container orchestration in production environments. 2+ year of experience or demonstrated proficiency with machine learning and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and related tools. Preferred Qualifications
Familiarity with CI/CD pipelines and DevOps best practices. Experience with event-driven or microservices architectures. Exposure to message brokers like RabbitMQ, Kafka, or AWS SQS. Understanding of containerization tools like Docker.
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