Amazon's Customer Behavior Analytics' Downstream Impact (DSI) team is seeking a Software Development Engineer II to join their innovative team focused on Causal Machine Learning products. This role sits at the intersection of big data and machine learning, where you'll be responsible for building systems that process petabytes of data to estimate long-term value and inform financial planning across Amazon's vast business portfolio.
The position offers an exciting opportunity to work with cutting-edge technologies and influence how hundreds of billions of dollars are invested across Amazon's businesses. As part of a 9-person engineering team, you'll collaborate with product managers, data engineers, and scientists to build and scale sophisticated machine learning systems using AWS technologies like S3, EC2, and EMR, along with Apache Spark for distributed processing.
The role combines technical expertise with business impact, requiring strong software development skills and an interest in causal inference. The team maintains a healthy work-life balance with minimal operational maintenance, with 90%+ of on-call work occurring during business hours. The development process is well-structured with bi-weekly sprint planning, regular backlog grooming, weekly demos, and team events.
This is an excellent opportunity for engineers who want to work on large-scale systems while making a direct impact on Amazon's financial decision-making processes. The team has recently received recognition from leadership and has an exciting roadmap through 2025. The position offers competitive compensation ranging from $129,300 to $223,600 based on location, plus equity and comprehensive benefits.
The ideal candidate will bring 3+ years of professional software development experience, strong system design skills, and experience with ML/Big Data systems. You'll be joining a team that values innovation, technical excellence, and the ability to translate complex technical solutions into business value. If you're passionate about building scalable ML systems and want to work with a team that's shaping the future of customer behavior analytics at Amazon, this role offers the perfect blend of technical challenge and business impact.