Systems Administrator II, Global Operations Support Engineering

Amazon • Herndon, VA

48d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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, AgentCore 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, AgentCore) 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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level