From large-scale GPU orchestration to inference optimization, we own the hard problems across ... Optimize existing processes to reduce manual work and improve efficiency. * Collaborate with ...
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Work From Home Amazon Automation Engineer information
See salary details
$37K - $48.5K
0% of jobs
$48.5K - $59.9K
1% of jobs
$59.9K - $71.4K
4% of jobs
$71.4K - $82.8K
13% of jobs
$87.4K is the 25th percentile. Wages below this are outliers.
$82.8K - $94.3K
18% of jobs
The median wage is $102.9K / yr.
$94.3K - $105.7K
19% of jobs
$105.7K - $117.2K
17% of jobs
$120.6K is the 75th percentile. Wages above this are outliers.
$117.2K - $128.6K
12% of jobs
$128.6K - $140.1K
9% of jobs
$140.1K - $151.5K
5% of jobs
$151.5K - $163K
2% of jobs
$37K
$107.1K
$163K
How much do work from home amazon automation engineer jobs pay per year?
What are the key skills and qualifications needed to thrive as a Work From Home Amazon Automation Engineer, and why are they important?
What does a Work From Home Amazon Automation Engineer do?
What are the main challenges faced by Work From Home Amazon Automation Engineers, and how can they be managed effectively?
What is the difference between Work From Home Amazon Automation Engineer vs Work From Home Amazon Web Services (AWS) Cloud Engineer?
| Aspect | Work From Home Amazon Automation Engineer | Work From Home Amazon Web Services (AWS) Cloud Engineer |
|---|---|---|
| Required Credentials | Amazon certifications, automation tools knowledge | AWS certifications, cloud architecture expertise |
| Work Environment | Remote, automation-focused tasks | Remote, cloud infrastructure management |
| Industry Usage | Amazon fulfillment centers, automation systems | Cloud computing, infrastructure services |
| Common Search Intent | Automation jobs at Amazon, remote automation roles | Cloud engineering roles at AWS, remote cloud jobs |
The main difference is that Work From Home Amazon Automation Engineers focus on automating Amazon's internal systems and processes, often involving robotics and automation tools. In contrast, Work From Home AWS Cloud Engineers manage and deploy cloud infrastructure on AWS. Both roles require technical certifications and are remote, but they serve different operational areas within Amazon and its cloud services.
Full-time
Posted 16 days ago
Job description
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Requirements
- 3+ years of hands-on experience in automation, scripting, or IT infrastructure in enterprise environments.
- Microsoft Entra ID and Microsoft 365 ecosystem
- Google Workspace (basic administration)
Hands-on experience with:
- RESTful APIs and system integrations
- PowerShell, Python
- Azure services (Automation, Functions, Logic Apps)
Strong understanding of:
- Automation patterns (event-driven, scheduled workflows)
- SaaS integrations and API-based workflows
- Authentication basics (OAuth, OpenID Connect)
- Familiarity with tools like Slack, Jira, or similar SaaS platforms, Git, and basic CI/CD.
- Strong troubleshooting and problem-solving skills.
- Intermediate English (written and spoken).
Responsibilities
- Design, build, and maintain automation workflows across IT systems and SaaS platforms.
- Develop integrations between Microsoft services, Google Workspace, and other tools using APIs.
- Automate operational tasks (user management, notifications, data sync, access workflows).
- Implement reliable and secure automation (logging, monitoring, error handling).
- Optimize existing processes to reduce manual work and improve efficiency.
- Collaborate with IT, Security, and business teams to deliver automation solutions.
- Document workflows, scripts, and integrations.
- Experience with:
- Slack API / Atlassian (Jira, Confluence)
- Microsoft Graph API
- Google Admin SDK
- Knowledge of Azure Monitor / Log Analytics.
- Experience in large-scale or multi-system environments.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.