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 Global Operations Support Engineering (GOSE) team is seeking a System Engineer to lead the technical implementation of business automation solutions and AI-driven operational intelligence platforms. This role will serve as the technical backbone for transforming critical infrastructure data into automated, intelligent systems that enable the Data Center Community (DCC) organization to prevent customer impact, reduce operational burden, and continuously improve fleet-wide reliability.

As a System Engineer, you will design and build production-grade automation infrastructure, lead the productionalization of AI-driven operational tools, and establish engineering best practices that scale across the global AWS data center portfolio. You will work at the intersection of infrastructure operations, automated solutions, and artificial intelligence to create systems that fundamentally change how AWS manages its global infrastructure.

• Key job responsibilities

• Influence the team’s technical and business strategy by making insightful contributions to team priorities and lead in identifying and solving architecture deficiencies that limit the innovation

• Design and implement production infrastructure for AI-driven operational intelligence platforms and agentic systems, including event-driven architectures, Lambda functions, Agent Core deployments, API integrations, MCP server deployments, and AI orchestration systems that enable autonomous near-real-time actions across the global fleet

• Architect scalable automation solutions and agentic AI systems that integrate across multiple AWS services (Lambda, CloudWatch, Bedrock, Agent Core) and internal systems to eliminate manual processes and enable autonomous workflows

• Develop and maintain MCP (Model Context Protocol) servers and tools that expose data center operational data, runbooks, and automation capabilities to agentic systems

• Build and maintain AWS infrastructure for automation programs, including dedicated AWS accounts, IAM roles, security configurations, deployment pipelines, usage logging, and authentication systems

• Establish engineering standards, best practices, and operational excellence patterns for business automation and AI-driven systems, including CI/CD pipelines and infrastructure-as-code solutions using CDK/CloudFormation

• Drive proof-of-concept development for new automation ideas and own the productionalization of validated AI proof-of-concepts into production-ready systems with >95% uptime, implementing monitoring, alerting, and observability solutions for automation infrastructure

• Collaborate with Business Intelligence Engineers, TPMs, and Data Engineers to translate business requirements into technical solutions while leading design and code reviews

About the team
The Global Operations Support Engineering (GOSE) team is focused on maximizing AWS data center infrastructure availability and operational excellence. We achieve this by optimizing labor utilization, deep diving event and incident analysis, developing data engineering and business intelligence solutions, deploying business automation, and managing global operational improvement initiatives.

We transform critical infrastructure data into actionable intelligence that enables the Data Center Community (DCC) organization to prevent customer impact, reduce operational burden, focus on highest-impact activities, and continuously improve fleet-wide reliability and productivity. Through our comprehensive monitoring, analysis, reporting, and program/project management, we serve as the analytical backbone that drives continuous improvement in operational excellence across the global data center portfolio.

The team operates at the intersection of infrastructure operations, data engineering, and artificial intelligence—building systems that fundamentally change how AWS manages its global infrastructure at scale.

Basic Qualifications

• 5+ years of systems engineering experience
• Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience
• Experience in site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration
• Experience in any of the following: Python, Java, Perl, PHP, Ruby, Bash, Shell or equivalent

Preferred Qualifications

• Knowledge of TCP/IP and networking protocols such as HTTP and DNS
• Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security
• Experience working in 24/7 production environment
• Experience with service-oriented architecture and web services

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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, VA, Herndon - 104,500.00 - 160,000.00 USD annually