Sr Python Backend Engineer

3 days ago

Kolhapur, India Katalytx Analytics Full time

Hand on Python engineer who loves building scalable applications and robust RESTful APIs Responsibilities - Translate complex business requirements into detailed technical specifications, architectural designs, and API contracts. - Create and implement microservice architectures via APIs and services, ensuring seamless integration and data flow - Develop and integrate advanced Generative AI models and Agentic AI approaches into new and existing applications. - Optimize application code and architecture for performance, scalability, security, and cost-effectiveness. - Work with data scientists to integrate Agents into application endpoints and user interfaces (fastAPI, uvicorn) - Collaborate effectively with cross-functional teams, including product managers, data scientists, designers, and DevOps engineers, to deliver features iteratively. Qualifications - 5+ years of experience in software development, with significant experience in cloud-based application development and API design. - Strong software engineering background, including developing applications, RESTful APIs, and integrating front-end technologies (if applicable to the role). - Proficiency in modern programming languages (e.g., Python). - Understanding of machine learning lifecycle, MLOps principles, and responsible AI/ML practices from an application integration perspective. - Experience with database technologies (SQL/NoSQL) and data integration patterns. - Familiarity with cloud services relevant to application development (e.g., Azure Webapps, Azure Functions, Azure API Management, Azure Cosmos DB, Azure Databricks, Azure ML services for model consumption). - Good experience in configuring and managing CI/CD pipelines (e.g., Azure DevOps Pipelines, GitHub Actions) for complex application landscapes, including monorepos and multi-application deployments. - Basic proficiency in scripting languages (e.g., PowerShell, Bash) for automating operational tasks, deployments, and creating standardized project templates ('cookie-cutter' style automation). - Good understanding of containerization technologies (e.g., Docker, Kubernetes). - Experience with monitoring and logging tools to manage application and infrastructure health (e.g., Azure Monitoring, Azure AppInsights)

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