Systems Administrator , Global Operations Support Engineering
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Job Location:
Herndon, VA - USA
Monthly Salary:
Not Disclosed
Posted on:
21 hours ago
Vacancies:
1 Vacancy
Job Summary
AWS Infrastructure Services owns the design planning delivery and operation of all AWS global other words were 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 were looking for talented people who want to help.
Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll 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 youll 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 build and maintain business automation infrastructure and support the development of AI-driven operational intelligence platforms. This role will implement production systems that transform manual operational processes into automated intelligent workflows that improve efficiency and reliability across AWSs global data center portfolio.
As a System Engineer you will build AWS infrastructure for automation tools implement integrations with internal systems and support the deployment of AI-driven operational capabilities. You will work hands-on with Lambda functions AgentCore Bedrock API integrations and infrastructure-as-code to create scalable solutions that enable thousands of data center engineers to work more efficiently.
Key job responsibilities
- Build and maintain AWS infrastructure for business automation solutions including AgentCore deployments API integrations MCP server deployments IAM roles CloudWatch monitoring and dedicated AWS accounts with appropriate security controls
- Implement infrastructure-as-code using CDK/CloudFormation to enable repeatable version-controlled deployments and establish CI/CD pipelines for automation script testing and production deployment
- Develop usage logging database tracking authentication systems and API integrations with internal systems to automate ticket creation data retrieval and workflow orchestration
- Support the productionalization of AI proof-of-concepts by implementing infrastructure components deployment pipelines operational monitoring and integration layers between AI agents and internal systems
- Create monitoring and alerting solutions to ensure high availability of automation infrastructure troubleshoot system issues across AWS services and integration points
- Collaborate with other Systems Engineers Business Intelligence Engineers TPMs and Data Engineers to implement technical solutions while participating in code reviews and design reviews
- Implement automated testing for infrastructure changes establish logging and observability for automation systems and contribute to team documentation and best practice guides
- Continuously learn new AWS services automation techniques and AI/ML capabilities to improve technical skills and identify improvements to system reliability and performance
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 intelligencebuilding systems that fundamentally change how AWS manages its global infrastructure at scale.
- 2 years of site reliability engineering (SRE) systems engineering systems administration DevOps security administration or network administration experience
- 2 years of building scripts tooling and automation for large-scale computing environments experience
- Knowledge of configuration management systems such as Puppet Chef Ansible or related systems
- Experience in network capture and systems troubleshooting
- Experience building scripts tooling and automation for large-scale computing environments
- Experience working in a 24/7 production environment
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll 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 youll 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 build and maintain business automation infrastructure and support the development of AI-driven operational intelligence platforms. This role will implement production systems that transform manual operational processes into automated intelligent workflows that improve efficiency and reliability across AWSs global data center portfolio.
As a System Engineer you will build AWS infrastructure for automation tools implement integrations with internal systems and support the deployment of AI-driven operational capabilities. You will work hands-on with Lambda functions AgentCore Bedrock API integrations and infrastructure-as-code to create scalable solutions that enable thousands of data center engineers to work more efficiently.
Key job responsibilities
- Build and maintain AWS infrastructure for business automation solutions including AgentCore deployments API integrations MCP server deployments IAM roles CloudWatch monitoring and dedicated AWS accounts with appropriate security controls
- Implement infrastructure-as-code using CDK/CloudFormation to enable repeatable version-controlled deployments and establish CI/CD pipelines for automation script testing and production deployment
- Develop usage logging database tracking authentication systems and API integrations with internal systems to automate ticket creation data retrieval and workflow orchestration
- Support the productionalization of AI proof-of-concepts by implementing infrastructure components deployment pipelines operational monitoring and integration layers between AI agents and internal systems
- Create monitoring and alerting solutions to ensure high availability of automation infrastructure troubleshoot system issues across AWS services and integration points
- Collaborate with other Systems Engineers Business Intelligence Engineers TPMs and Data Engineers to implement technical solutions while participating in code reviews and design reviews
- Implement automated testing for infrastructure changes establish logging and observability for automation systems and contribute to team documentation and best practice guides
- Continuously learn new AWS services automation techniques and AI/ML capabilities to improve technical skills and identify improvements to system reliability and performance
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 intelligencebuilding systems that fundamentally change how AWS manages its global infrastructure at scale.
- 2 years of site reliability engineering (SRE) systems engineering systems administration DevOps security administration or network administration experience
- 2 years of building scripts tooling and automation for large-scale computing environments experience
- Knowledge of configuration management systems such as Puppet Chef Ansible or related systems
- Experience in network capture and systems troubleshooting
- Experience building scripts tooling and automation for large-scale computing environments
- Experience working in a 24/7 production environment
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 for more information. If the country/region youre applying in isnt 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 VA Herndon - 82400.00 - 144100.00 USD annually
Required Experience:
Unclear Seniority
Key Skills
- Computer Science
- Active Directory
- Computer information Technology
- PowerShell
- OS
- Windows
- Database
- SCCM
- Linux
- SAN
- Troubleshoot
- Backup
- Setup
- Technical Support
- UNIX
About Company
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