Senior Software Development Engineer, DC Assistant Development

• 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 reliability

About the team About AWS

• 7+ 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 communication, * 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, Skills, ML models)
• Works autonomously and demonstrates deep problem-solving capabilities
• Balances subtle improvements with disruptive innovation when needed, 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

Preferred Qualifications

• 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

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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 We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud., The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 168,100.00 - 227,400.00 USD annually

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. About DC Bridge: Join the DC Bridge team in pioneering next-generation AI/ML solutions that power AWS's global data center operations. We're building cutting-edge systems that orchestrate physical work processes across AWS's worldwide data centers, directly impacting millions of customers who rely on AWS services. 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.