Amazon Sr Software Development Engineer DC Assistant 

United States, Washington, Bellevue 

399152603

About DC Bridge:
Position Impact:
You'll be at the forefront of transforming data center operations through AI/ML innovations, developing intelligent systems that optimize technician workflows, automate decision-making processes, and enhance operational efficiency across AWS's global infrastructure.
Required Qualifications:
• 8+ years of software development experience with proven expertise in Python, Java, or equivalent languages
• Strong background in one or more of:
- Frontend development and UI/UX design
- Platform engineering (SDKs/Frameworks)
- ETL and large-scale data processing
- DC telemetry systems
- Machine learning (specializing in anomaly detection, classification, time series analysis)
- Solution architecture and technical advisory
• Hands-on experience with modern ML frameworks (TensorFlow, PyTorch, SageMaker, Bedrock)
• Track record of mentoring and technical leadership
• Excellence in problem-solving and communicationIdeal Candidate Profile:
• Thrives in ambiguous environments and adapts quickly to change
• Demonstrates a scrappy mindset with ability to deliver results in fast-paced settings
• Maintains deep technical expertise while staying customer-focused
• Shows passionate engagement with AI/ML advancements
• Possesses strong understanding of AI/ML technology application (LLMs, agents, RAG, ML models)
• Works autonomously and demonstrates deep problem-solving capabilities
• Balances subtle improvements with disruptive innovation when neededKey job responsibilities
• Lead and architect the development of state-of-the-art AI/ML platforms and solutions, serving as a technical leader for both data center operations and engineering teams
• Own end-to-end delivery of technically challenging projects, including scalable ML frameworks, deployment pipelines, and intuitive interfaces for non-ML experts
• Drive operational excellence by building robust data processing pipelines and ETL systems for DC telemetry data, while identifying and addressing operational challenges early
• Mentor and grow junior engineers, acting as a force multiplier by sharing AI/ML expertise and best practices
• Lead cross-functional collaboration efforts to integrate ML solutions into existing DC workflows, while maintaining highest standards for system extensibility and scalability
• Contribute to and champion improvements in development processes, particularly in the context of ML development and deployment
• Provide technical consultation and architectural guidance to internal customers while insisting on the highest standards for long-term system sustainability
• Design and implement reusable components and tools that enhance team productivity and system reliabilityDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 7+ years of non-internship professional software development experience
- 7+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ 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