Software Engineer developing scalable software platforms supporting analytics and AI solutions. Collaborating with multidisciplinary teams and managing containerized applications using Python, AWS, Docker, and Kubernetes.
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
Requirements
5-8 years of total experience
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
Bachelor’s/Master’s degree in Computer Science/IT/engineering
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