AI
Aleph Group, IncSenior Backend Developer
Senior Backend Developer specializing in designing and building event - driven systems. Part of a digital advertising team working with major platforms globally.
About the role
- Design and implement modular, scalable, and maintainable backend architectures for Python-based applications.
- Define standards for multi-tiered architecture, dependency injection, module management, and configuration strategies across environments.
- Lead efforts to improve API design, data modeling, and code organization aligned with long-term product scalability.
- Act as technical coach to the engineering team, transferring best practices in backend engineering, system design, and clean code principles.
- Involve in Review of new or existing implementations and introduce structured improvements for scalability, maintainability, testability, and reusability.
- Design system architecture to support integration of backend services into CI/CD pipelines.
- Collaborate with DevOps and QA teams to ensure solutions are test-driven, monitoring ready, and accessible for automated testing workflows.
- Introduce performance monitoring, logging, and error tracking mechanisms, integrating with modern observability tools.
- Work closely with AI engineers, data engineers, and cloud specialists to integrate backend APIs with AI/LLM pipelines, RAG systems, and vector stores.
- Learn and progressively apply Generative AI concepts (prompt management, context handling, observability) to ensure backend readiness for intelligent features.
- Contribute to architectural discussions and technical documentation supporting AI CoE frameworks and client AI projects.
Requirements
- 7+ years of experience in software development with Python, including backend systems, APIs, or enterprise applications.
- Expertise in FastAPI, Flask, or equivalent frameworks for building production-grade REST or GraphQL APIs.
- Proven experience designing tiered architectures and applying design patterns (e.g., repository, service, dependency injection).
- Hands-on experience with CI/CD pipelines, unit/integration testing frameworks, and logging/monitoring tools.
- Strong understanding of modularization, configuration management, and code quality principles.
- Understanding of modern API security (OAuth2, OIDC, integration with EntraID or similar).
- Familiarity with AI or Generative AI solutions, LLM-based architectures, or RAG pipelines.
- Experience with Azure Cloud Services (Functions, App Service, Container Apps, APIM, etc.).
Job title
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ES
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