To spearhead this initiative, we are actively seeking experienced senior systems engineers with a strong background in automation and operations. Your responsibilities will encompass contributing to the smooth operation of the ESC, working closely with global AWS teams, and influencing the evolution of AWS services and technology. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Fluency in written and spoken English is required.
* Amazon will provide relocation support for successful applicants relocating within the European Union.
If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Here at AWS, it's in our nature to learn and be curious. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
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Experience in Python, Perl, or another scripting language
- Systems engineering experience, working with hardware, software, networking, operating systems
- Expertise in Linux and networking with proven ability to conduct advanced system diagnostics, implement preventive measures, and resolve complex technical issues that impact system performance, reliability, scalability, and high availability across distributed software environments. Experience operating 24x7 high-availability, distributed software applications and performance tuning software applications and optimizing fleet utilization
- Experience with CI/CD pipelines, DevOps practices, and Generative AI technologies, including automated deployment, configuration management, continuous integration workflows, prompt engineering, model deployment, and AI-powered automation tools
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