Software Dev Engineer, Career Choice

Our mission is to make it easy for employees and their family to discover and use the benefits that apply to them. Today’s traditional benefit experiences rely heavily on content, explanations, and instructions for people to understand what’s available to them and how to use it. We are bringing personalized and friction-free benefits to the tip of the fingers of over five million people (our employees and their dependents). Amazon Benefits help them live richer and fuller lives, be it by helping them in a moment of medical need, saving for retirement, or helping them with a vacation. We are building a delightful mobile and web experience integrated with internal and external systems, so employees don’t have to go through hoops to get what they want. No employer has ever done this level of experience or personalization before and we are breaking new ground. We are looking for a Software Development Engineer responsible for design, development, launch and operation of the key initiatives associated with the most complex integration system. You will work in a highly collaborative and supportive environment across all stages of an agile software development life cycle, including architecture design, development, documentation, testing and operations. Key job responsibilities • Own capabilities end to end: design, build, test, launch, and operate features and independently deployable services, including on-call for what you ship. • Work backwards from the customer: bring a product design perspective to what you build, understanding the need behind the spec and shaping the experience, not just implementing it. • Turn signed-off specifications into working, tested software, contributing across packages in our open-contribution model and partnering with product experts to refine requirements. • Work the AI Native build loop day to day: direct coding agents, review human-authored and agent-authored code to the same bar, and own the correctness of what merges. • Implement and extend the validation that earns autonomy: simulation tests across realistic customer segments, so a change is proven correct across the populations we serve before a human reviews it. • Integrate with regulated, real-world systems (sensitive customer data, third-party and vendor APIs) with correctness and privacy as non-negotiables. • Help improve the system that builds the system: when a manual fix reveals a pattern, propose it as a reusable skill in our shared capabilities so agents handle it next time.