Python Software Engineer

As a Python Software Engineer at our company, you will play a crucial role in designing, building, and operating scalable software platforms that support analytics and AI solutions. You will collaborate with multidisciplinary teams across regions to contribute to system architecture, cloud deployments, and modern containerized environments. Key Responsibilities: - Design, develop, and maintain high-quality software solutions using Python. - Contribute to the design and evolution of scalable and maintainable software architectures. - Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP). - Build and manage containerized applications using Docker and Kubernetes. - Support the development and deployment of AI and analytics solutions, working closely with data scientists and data engineers. - Collaborate with cross-functional and client-facing teams to deliver end-to-end solutions. - Participate in technical discussions, architectural reviews, and continuous improvement initiatives. Qualifications Required: - Strong Python knowledge with experience building production-grade software. - Experience designing software architectures for scalable applications. - Hands-on experience operating and deploying solutions in cloud environments (any major cloud provider). - Practical knowledge of container technologies and architectures, including Docker and Kubernetes. - Basic understanding of AI solution components and technologies, such as LLMs, vector databases, APIs/protocols, and supporting infrastructure. In addition to the mandatory qualifications, it would be a bonus to have experience in systems design, particularly in cloud-native or distributed environments, creating project implementation plans, timelines, and effort estimations, as well as leading or mentoring engineering teams and driving projects to completion. Join our team if you have a Bachelor's or Master's degree in Computer Science, IT, or engineering. As a Python Software Engineer at our company, you will play a crucial role in designing, building, and operating scalable software platforms that support analytics and AI solutions. You will collaborate with multidisciplinary teams across regions to contribute to system architecture, cloud deployments, and modern containerized environments. Key Responsibilities: - Design, develop, and maintain high-quality software solutions using Python. - Contribute to the design and evolution of scalable and maintainable software architectures. - Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP). - Build and manage containerized applications using Docker and Kubernetes. - Support the development and deployment of AI and analytics solutions, working closely with data scientists and data engineers. - Collaborate with cross-functional and client-facing teams to deliver end-to-end solutions. - Participate in technical discussions, architectural reviews, and continuous improvement initiatives. Qualifications Required: - Strong Python knowledge with experience building production-grade software. - Experience designing software architectures for scalable applications. - Hands-on experience operating and deploying solutions in cloud environments (any major cloud provider). - Practical knowledge of container technologies and architectures, including Docker and Kubernetes. - Basic understanding of AI solution components and technologies, such as LLMs, vector databases, APIs/protocols, and supporting infrastructure. In addition to the mandatory qualifications, it would be a bonus to have experience in systems design, particularly in cloud-native or distributed environments, creating project implementation plans, timelines, and effort estimations, as well as leading or mentoring engineering teams and driving projects to completion. Join our team if you have a Bachelor's or Master's degree in Computer Science, IT, or engineering.