IT Application Engineer I, Amazon Leo, ALM365, Amazon Leo
Amazon is hiring an IT Application Engineer I, Amazon Leo, ALM365, Amazon Leo in Bellevue, United States. It pays $91k-$159k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Amazon has 20,000+ other open roles on Level.
- Posted in the last few days.
AI in this role
Key job responsibilities
- Develop and maintain automation (PowerShell/Python) to configure, deploy, and support file sharing and productivity systems
- Build and maintain Infrastructure as Code components for secure internal and external collaboration services
- Administer and support file sharing and productivity platforms, troubleshooting and resolving operational issues
- Resolve end-user support requests via ticketing, Slack, email, and live calls to minimize service disruptions
- Enforce least-privilege access, password management, and audit logging practices across productivity applications
- Partner with security and compliance teams to support existing policies and controls
- Write and maintain documentation for team processes and end-user guidance
A day in the life
You will join daily standups to discuss progress on projects and services across the team. On meeting days, you will attend operations reviews and project meetings. The team also has dedicated engineering days where you will be heads down on development, automation, and support work.
About the team
The ALM365 team owns Amazon Leo's productivity infrastructure, including secure file sharing and collaboration systems operating across classified environments. We partner closely with Security and Compliance teams to deliver reliable, compliant tools for a satellite broadband program.
Basic qualifications
- Experience in software development
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience tools for automation (building, testing, releasing or monitoring)
- Experience supporting file sharing or productivity systems in a production environment
Preferred qualifications
- Experience with scripting (e.g. Python, PowerShell)
- Experience with CloudFormation, Chef, Puppet, Salt, or Ansible in production environments
- Experience working in an Agile or Scrum 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 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, WA, Bellevue - 90,700.00 - 158,700.00 USD annually
How we rate this
IT Application Engineer I, Amazon Leo, ALM365, Amazon Leo at Amazon rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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