Amazon Sr Software Development Engineer Real-Time 

United States, California, Sunnyvale 

895543833

If you’re passionate about solving complex problems at scale and driving architectural decisions in a high-impact domain, you’ll feel right at home.The ideal candidate brings deep technical expertise—including in machine learning—strong leadership skills, and a proven ability to drive cross-organizational alignment. Experience with applying ML techniques to streaming data, anomaly detection, traffic modeling, or predictive analytics is highly valued. You are a champion of engineering excellence, continuously raising the bar on quality, maintainability, performance, and resilience of large-scale data platforms. You’ll help shape the product vision, define long-term strategy, and drive outcomes that make a global impact.Key job responsibilities
Lead the design and development of scalable, real-time streaming systems that process high-throughput traffic data.Architect and implement data pipelines and analytics frameworks that enable ML-based anomaly detection and traffic intelligence.Partner with scientists and ML engineers to productionize models and build feedback loops for continuous learning.Drive technical direction, make key architectural decisions, and own end-to-end solutions from concept to production.Set best practices for coding, testing, deployment, and operations of distributed systems.Mentor and guide junior engineers, conduct design reviews, and foster a high bar for technical excellence.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent