Software Dev Engineer II

The Global Reliability Maintenance Engineering (RME) Central Asset Science & Technology (AST) team at Amazon is seeking a Software Development Engineer II to join their innovative team. This role is part of a crucial initiative that drives excellence in asset management practices across the enterprise. The position offers an opportunity to work on developing scalable, science-driven software solutions that automate and optimize operations related to safety, reliability, and equipment management globally.

The role combines both backend and frontend development, requiring expertise in building distributed systems that can scale effectively. You'll be working within a fast-paced, startup-like environment while enjoying the resources and reach of a global technology leader. The position involves creating greenfield science-driven software products and providing technical support for Asset Performance Management (APM) software.

As an SDE II, you'll be responsible for the complete software development lifecycle, from design through deployment. You'll collaborate with senior engineers, product managers, and stakeholders to develop user-friendly experiences while ensuring robust technical implementations. The role offers significant opportunity for growth and impact, as you'll be working on solutions that affect Amazon's worldwide operations.

The ideal candidate will bring strong technical expertise and the ability to thrive in a fast-moving environment. You'll be part of a "two pizza" scrum team, contributing to both technical architecture and customer-facing features. This position offers the chance to work on challenging problems while building systems that have broad business impact across Amazon's global network.

Benefits include the opportunity to work with cutting-edge technologies, collaborate with talented engineers, and make a significant impact on Amazon's worldwide operations. The role offers professional growth opportunities through mentoring, complex problem-solving, and exposure to large-scale distributed systems.