Software Development Engineer III, WW Sustainability
Posted Updated
Description
Join us at the forefront of Amazon's sustainability initiatives to work on environmental and social advancements to support Amazon's long term worldwide sustainability strategy. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. The Worldwide Sustainability (WWS) organization capitalizes on Amazon’s scale and speed to build a more resilient and sustainable company.
Amazon's Worldwide Sustainability Tech team is building the science and technology infrastructure that makes our sustainability commitments real — auditable, automated, and actionable at Amazon's scale. At the center of that infrastructure is the Carbon Intelligence Platform: the system that calculates emissions across Amazon's businesses, powers planning and abatement decision-making, and serves external sustainability products for partners and customers outside Amazon.
The agentic data mesh team is building a reusable governed knowledge layer and semantic interface so agents can retrieve cited, traceable answers across domains. You will partner with research and sustainability scientists whose methodologies — increasingly AI and ML-enabled — your team implements in production. You will be the tech lead driving AI-native engineering projects, one that builds AI/ML systems in production and uses AI-native development and testing as standard workflow, measuring success by the pace at which new capabilities reach customers reliably.
Key job responsibilities
- Design and develop AI native systems and features that report Amazon's environmental footprint as well as other Social and Governance metrics, to internal stakeholders and external regulatory bodies.
- Operationally maintain the systems you build with a strong sense of Ownership, Bias for Action, and Customer Obsession.
- Contribute to improving the teams broader SDLC processes.
Amazon's Worldwide Sustainability Tech team is building the science and technology infrastructure that makes our sustainability commitments real — auditable, automated, and actionable at Amazon's scale. At the center of that infrastructure is the Carbon Intelligence Platform: the system that calculates emissions across Amazon's businesses, powers planning and abatement decision-making, and serves external sustainability products for partners and customers outside Amazon.
The agentic data mesh team is building a reusable governed knowledge layer and semantic interface so agents can retrieve cited, traceable answers across domains. You will partner with research and sustainability scientists whose methodologies — increasingly AI and ML-enabled — your team implements in production. You will be the tech lead driving AI-native engineering projects, one that builds AI/ML systems in production and uses AI-native development and testing as standard workflow, measuring success by the pace at which new capabilities reach customers reliably.
Key job responsibilities
- Design and develop AI native systems and features that report Amazon's environmental footprint as well as other Social and Governance metrics, to internal stakeholders and external regulatory bodies.
- Operationally maintain the systems you build with a strong sense of Ownership, Bias for Action, and Customer Obsession.
- Contribute to improving the teams broader SDLC processes.