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.Key job responsibilities
• 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 reliabilityPosition 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:
• 5+ 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 designPlatform engineering (SDKs/Frameworks)ETL and large-scale data processingDC telemetry systemsMachine learning (specializing in anomaly detection, classification, time series analysis)Solution architecture and technical advisory• Hands-on experience with modern ML frameworks (SageMaker, Bedrock)
• Track record of mentoring and technical leadership
• Excellence in problem-solving and communication
- 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
- 4+ 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
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