Our team is responsible for building technical solutions for multi-billion, World Wide Operational Cost tools using Big Data, Machine Learning, AWS technologies and Serverless Architecture. We are currently looking for a full stack developer who will work with the team to build technical APIs and web based solution to automate and validate critical financial processes at a global scale.

Successful candidates will work as part of a team to expand current solutions by working with a broad cross-section of the Amazon organization and spanning wide range of technologies. This is an excellent opportunity for a motivated individual to have a large impact in how Amazon conducts critical financial processes efficiently and accurately.

As a Full Stack Software Development Engineer, you will help solve a variety of technical challenges and build highly scalable solutions to solve unique problems for World Wide business teams. You will help solve our Big Data problems making use of AWS services, design enterprise scaled systems, develop and deploy highly scalable and reliable distributed services. You will tackle challenging, novel situations every day. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that haven’t been solved at scale before. Along the way, we guarantee that you’ll learn a ton, have fun and make a huge impact.

On a day-to-day basis, you'll be part of a small, close-knit team of engineers that are agile, data driven, and highly collaborative. You’ll help analyze cost patterns and models, propose ideas and design solutions to some of the most complex problems.

Key job responsibilities
Primary role is a full stack software engineer designing and building user-friendly and intuitive applications, build BigData systems that crunch TB scale of data to generate actionable reports for Financial Analysts
Drive best practices and engineering excellence
Development of code in OO languages (Java), query languages (SQL), scripting languages (Python)
Analyze and solve problems at their root, stepping back to understand the broader context.
Respond to high priority requests from senior business leaders
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support