Backend Data Architect
Optimize data workflows using Python-based services and AWS data solutions. Develop scalable backend systems that integrate AI/LLM frameworks to enable advanced media processing capabilities.
* Design and implement data pipelines using Python.
* Leverage AWS services such as Glue, Step Functions, and SQS for efficient data workflows + Serverless.
* Integrate AI/LLM frameworks (Bedrock, RAG, Agents) into production systems.
* Evaluate scalability and reliability of Kubernetes-hosted applications.
* Collaborate with Agile teams and maintain CI/CD pipelines.
Mandatory Skills:
* Proficient in Python development.
* Expertise in SQL and NoSQL databases.
* Familiarity with AWS services.
* Knowledge of AI/LLM integration patterns.
* Familiarity with real-time communication protocols.
* Experience in microservices architecture.
* Kubernetes and CI/CD expertise.
* Strong system design skills.