At Amazon, our Global Realty organization is responsible for enabling the physical expansion of our worldwide logistics network by identifying, evaluating, and acquiring the right sites to support our growing operations. Global Realty Technologies builds the systems that power this mission, providing the technology backbone that allows our teams to explore markets, assess opportunities, acquire land, and initiate facility design with speed, precision, and long-term sustainability in mind.
We are looking for a highly skilled and motivated Software Development Engineer to join this team. In this role, you will work on building and scaling technology that directly impacts how Amazon grows its global real estate footprint. You will tackle complex, real-world problems at scale, applying modern engineering practices along with geospatial intelligence, workflow automation, data science and artificial intelligence to enable smarter and faster decision-making. Your work will sit at the intersection of data, systems, and business outcomes, helping transform how real estate decisions are made across diverse global markets.
As part of a highly collaborative and forward-thinking team, you will partner closely with product managers, data scientists, and business stakeholders to design and deliver innovative solutions that redefine industry standards. You will contribute to systems that not only support site selection and acquisition but also enable early-stage design optimization with a strong focus on sustainability and efficiency. The problems you solve will be ambiguous, high-impact, and deeply connected to Amazon’s long-term infrastructure strategy.
This is an opportunity to work on technology that has a tangible, global footprint—where the systems you build influence not only real-world facilities and operations but also help build strong communities around them. You will be part of a culture that values ownership, innovation, and continuous learning, and you will be empowered with the tools and support needed to invent on behalf of our customers. If you are passionate about building scalable systems and want to apply your skills to meaningful, high-impact challenges, we encourage you to apply and be part of shaping the future of Amazon’s global infrastructure.
A day in the life
- Design, develop, and deliver scalable software solutions that leverage workflow automation, geospatial intelligence, and AI to improve real estate decision-making and business processes
- Partner with product managers, data scientists, and business stakeholders to translate requirements into high-quality technical solutions
- Contribute to system architecture and design, participating actively in design reviews and driving sound engineering decisions
- Own end-to-end delivery of features, from design through development, testing, and deployment
- Improve and maintain existing systems to ensure reliability, performance, and alignment with evolving business needs
- Write clean, maintainable, and well-documented code that adheres to engineering best practices and Amazon standards
- Participate in code reviews, providing thoughtful feedback and raising the overall quality bar of the team
- Mentor and support junior engineers, helping them grow through guidance, feedback, and technical leadership
- Stay current with emerging technologies and industry trends, and apply them pragmatically to improve systems and processes
About the team
The Search and Scope (SAS) pillar is part of Amazon’s Global Operations Enterprise Services Technology organization (GOES-Tech), which builds and operates the technology that powers Amazon’s global physical logistics network. Within this space, SAS enables the Global Realty organization to search, evaluate, and acquire sites that support Amazon’s rapidly expanding infrastructure footprint.
Our mission is to ensure that every site decision is made safely, quickly, cost-effectively, and with sustainability embedded from day one. To achieve this, we provide end-to-end technology and analytical capabilities across the site acquisition lifecycle—from initial market discovery and due diligence to final site selection and early-stage design planning.
Our platforms combine geospatial intelligence, advanced data science, and scalable software systems to help real estate teams make high-quality, data-driven decisions. Core capabilities include location-enabled site management systems, design optimization and feasibility tools, geospatial mapping and network intelligence, and data science solutions that power strategic market analysis. Together, these systems enable Amazon to expand its global logistics network with greater speed, precision, and long-term sustainability.
Inclusive Team Culture
At Amazon, we embrace diverse perspectives and are committed to building an inclusive environment where everyone can do their best work. Our culture is grounded in our Leadership Principles, which encourage us to learn and be curious, earn trust, and seek out different viewpoints. We invest in ongoing learning and create space for open dialogue, ensuring every voice is heard and valued.
Work-Life Balance
We believe that long-term success is built on a healthy balance between personal and professional life. Our team supports flexible working styles and encourages individuals to find a rhythm that allows them to stay productive while maintaining personal well-being.
Mentorship & Career Growth
We are intentional about developing our people. With a broad mix of experience levels and backgrounds, we foster an environment where knowledge sharing and mentorship are part of everyday work. We invest in your growth by providing meaningful projects, regular feedback, and opportunities to expand your skills, helping you build a well-rounded and impactful career.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
