Amazon Data Services, Inc.
Technology
SystemsEngineer,ControlsFleet,DataCenterCapacityDelivery
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Systems Engineer, Controls Fleet, Data Center Capacity Delivery at Amazon Data Services, Inc.. Skills: Systems engineering, Automation, Infrastructure management. Deploy, manage, and support Windows and Linux environments. Manage virtualization platforms”
What You'll Achieve.
Deploy critical infrastructure; Create automated solutions; Improve system reliability; Implement solutions to technical challenges
Industry & Context.
Root cause analysis
24/7 on-call rotation, Up to 20% travel
What They're Looking For.
Must Have
Bachelor's degree or relevant work experience, 4+ years SRE, systems engineering, systems administration, DevOps, security administration, or network administration experience, 2+ years building scripts, tooling, and automation for large-scale computing environments, Experience in Python, Java, Perl, PHP, Ruby, Bash, Shell or equivalent
Nice to Have
Experience designing and developing scripts to automate operational burdens, Reviewing scripting changes for maintainability, scalability and security, Experience working in 24/7 production environment, Experience with service-oriented architecture, Experience with web services
What You'll Do.
and support Windows and Linux environments
Manage virtualization platforms
Manage networking components
Create automation solutions
Maintain automation solutions
Support hybrid infrastructure environments
Architect secure solutions
Implement scalable solutions
Analyze complex technical issues
Develop effective solutions
Create technical documentation
Maintain technical documentation
Develop training materials
Support team knowledge sharing
Provide technical consultation
Support cross-functional projects
Identify security risks
Develop mitigation plans
Participate in compliance efforts
How You'll Work.
Team & Collaboration
Collaborating with global teams; Cross-functional projects
Communication Scope
Technical concepts; Documentation
Full Job Description
Are you experienced in managing Windows and Linux systems with a passion for building highly-available infrastructure at massive scale? Join us in driving cloud innovation and automation, deploying mission-critical systems that power global operations. AWS Infrastructure Services designs, delivers, and operates the global infrastructure that keeps AWS running. We manage the critical data center components - from servers and networking to power and cooling - that ensure continuous service for our customers. Within this organization, the Controls Fleet team builds and supports critical infrastructure services that power the world's premier e-commerce and cloud computing environments. We are seeking a passionate and motivated Systems Engineer to join our team of Windows and Linux experts. In this role, you'll deploy infrastructure and build automated solutions across our growing environment. The ideal candidate will have strong experience in Windows Server administration and Linux systems, hands-on experience with automation and scripting (PowerShell, Python, or Bash), and solid understanding of networking and distributed systems. Strong communication and documentation skills are essential, as you'll be collaborating closely with global teams. We value candidates who solve complex technical challenges through root cause analysis, can adapt to a fast-paced environment, and effectively communicate technical concepts. You'll make an impact by deploying and managing critical infrastructure, creating automated solutions for large-scale deployments, collaborating with teams to improve system reliability, and implementing solutions to technical challenges. You will be working in a hyper-growth environment where priorities shift quickly. You must be flexible and adapt well to a wide range of tasks and technologies. At Amazon, it is expected that your technical knowledge demonstrates both depth and breadth. Leveraging the strengths of individual team members as peers and delega
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