Amazon Data Services, Inc.
Technology
SeniorSoftwareDevelopmentEngineer,DCAssistantDevelopment
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“Senior Software Development Engineer, DC Assistant Development at Amazon Data Services, Inc.. Skills: AI/ML, Data center operations, Software development, Cloud infrastructure. Lead development of AI/ML platforms. Architect AI/ML solutions”
What You'll Achieve.
Optimize technician workflows; Automate decision-making processes; Enhance operational efficiency; Enable AI-powered capabilities
Industry & Context.
Deep problem-solving capabilities
What They're Looking For.
Must Have
7+ years software development experience, 7+ years programming experience, 5+ years leading design or architecture, 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
Nice to Have
5+ years full software development life cycle experience, Experience with Generative AI / Agentic Systems, Experience with LLM orchestration, Experience with prompt engineering, Experience with RAG architectures, Experience with tool-calling patterns, Experience with agent frameworks (Strands, LangChain), Experience with Full-Stack Serverless Engineering, Experience with AWS Lambda, Experience with API Gateway, Experience with CloudFront, Experience with DynamoDB/RDS, Experience with EventBridge, Experience with SQS, Experience with CDK Infrastructure-as-Code, Experience with Frontend & SDK Development, Experience with React, Experience with TypeScript, Experience with Cloudscape Design System, Experience with component library design, Experience with streaming interfaces (SSE), Experience with Search & Knowledge Systems, Experience with OpenSearch/Elasticsearch, Experience with vector embeddings, Experience with hybrid retrieval, Experience with document processing pipelines, Experience with semantic chunking, Experience with ML & Data Engineering, Experience with SageMaker, Experience with time-series analysis, Experience with anomaly detection, Experience with classification models, Experience with feature engineering, Experience with ETL at scale, Experience with Platform & DevOps, Experience with CI/CD pipeline design, Experience with progressive deployment, Experience with synthetic monitoring, Experience with observability (CloudWatch, X-Ray, OpenTelemetry)
What You'll Do.
Lead development of AI/ML platforms
Architect AI/ML solutions
Own end-to-end delivery of projects
Build scalable ML frameworks
Build deployment pipelines
Build intuitive interfaces
Drive operational excellence
Build data processing pipelines
Identify operational challenges
Address operational challenges
Mentor junior engineers
Grow junior engineers
Share AI/ML expertise
Lead cross-functional collaboration
Integrate ML solutions
Maintain system extensibility
Maintain system scalability
Champion improvements in development processes
Provide technical consultation
Provide architectural guidance
Design reusable components
Design reusable tools
How You'll Work.
Team & Collaboration
Data center operations teams; Engineering teams; Non-ML experts; Internal customers
Process & Methodology
Full software development life cycle
Full Job Description
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, building the platform primitives that dozens of teams across the Data Center Community build on developing intelligent systems that optimize technician workflows, automate decision-making processes, and enhance operational efficiency across AWS's global infrastructure while enabling AI-powered capabilities for a 30K+ globally distributed user base. Required Qualifications: • 7+ years of software development experience with proven expertise in Python, Java, or equivalent languages Strong background in one or more of the following: * Generative AI / Agentic Systems LLM orchestration,
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