About The Position
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. The AWS Data Center Engineering - BIM & AI Technologies team is pioneering the next generation of AI-powered design automation for AWS's global data center infrastructure. We're seeking an experienced Software Development Engineer to architect and deliver innovative solutions that transform how data center design documentation is created, updated, and reviewed at scale. As an SDE II on this team, you'll lead the design and implementation of novel generative AI applications that serve architects, engineers, construction managers, and facility operators. Working alongside software engineers, applied scientists, UX designers, product managers, and industry domain experts, you'll architect scalable production-ready systems that integrate BIM platforms, desktop applications, cloud services, and AI technologies to accelerate facility design workflows. This is an opportunity to learn about the Architecture, Engineering, Construction, and Ownership (AECO) industry while applying your software engineering skills to productionize ML models, mentor junior engineers, and solve complex design automation challenges for the building engineering and construction industry at an unprecedented scale.
Requirements
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Nice To Haves
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in practical work applying ML to solve complex problems
Responsibilities
- Design and architect scalable solutions for complex problems in the BIM and design automation space, balancing technical excellence with business impact
- Lead the development of new features and services that deliver data center design projects faster while maintaining high quality standards
- Write clean, maintainable, and well-documented code following software engineering best practices and establish coding standards for the team
- Collaborate with applied scientists to productionize ML models for BIM and AECO applications, ensuring robust deployment and monitoring
- Work closely with product, design, science, and AECO subject matter experts to deliver novel BIM and AI solutions
- Design and implement integrations between BIM platforms (e.g., Autodesk Platform Services, Revit, etc.) and AWS services with focus on reliability and scalability
- Implement human-in-the-loop (HITL) workflows that combine engineering expertise with AI automation, ensuring AI systems augment rather than replace professional judgment
- Drive technical discussions and build consensus on architectural decisions within your team and across partner teams
- Mentor junior engineers through code reviews, design discussions, and knowledge sharing
- Advocate for critical customers and stakeholders during team prioritization and planning, influencing roadmap decisions
Benefits
- health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- paid time off
- parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
