Amazon Software Development Engineer Data/ML AGI Information - Knowledge Graphs 

United States, California, Sunnyvale 

257221906

We're looking for candidates who combine strong software engineering fundamentals with practical system development experience. You'll need to demonstrate expertise in building scalable, fault-tolerant distributed systems, with a track record of shipping production services that handle large-scale workloads. We prioritize candidates who understand professional software engineering practices across the full development lifecycle - from system design and coding standards to testing, deployment, and operational excellence.
Key job responsibilities
- Develop efficient data processing pipelines to handle large-scale training and inference data
- Support experimentation and A/B testing infrastructure to evaluate model improvements
- Participate in code reviews, technical design discussions, and sprint planning to ensure high quality software delivery
- Develop and optimize LLM-assisted tools that revolutionize knowledge graph creation, from automated ontology generation to real-time fact extraction and verification- Release and maintain ML model infrastructure to enable high-throughput, low-latency inference in production environments

- 3+ years of non-internship professional software development experience
- Bachelor's degree in computer science or equivalent
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience with data processing and ETL pipelines at scale (Spark, GlueJob, Kafka)