Amazon Linux Engineer Simple Storage Glacier team S3G 

United Kingdom, England, London 

668271899

This is an opportunity to operate and engineer systems on a massive scale. You'll be surrounded by people who are wickedly smart and believe that world class service is critical to customer happiness.Key job responsibilities
A day in the life
On a “typical” day Engineers might:
• Drive the design and implementation of new services
• Use your Linux skills to troubleshoot, innovate fixes and workarounds
• Dive deep to root cause a customer issue
• Investigate why a metric is trending the wrong way
• Consult with the top engineers at Amazon
• Discuss radical new approaches to automate operational issues
• Implement automation to scale operational efficienciesAbout the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

* Experience writing scripts from scratch for automating manual tasks (BASH, Python, Perl, Ruby or similar)
* Solid background in Linux. Familiarity with in depth troubleshooting and ability to solve complex technical problems
* Knowledge of network fundamentals (DNS, UDP, TCP/IP, HTTP (s), routing, switching)
* Experience owning services that are secure, scalable, reliable and efficient. Can identify multiple operational and security risks and then resolve, mitigate and/or escalate them

* Bachelor’s Degree in Systems Engineering, Computer Science or related field, or relevant work experience
* Exposure to cloud computing concepts and design considerations
* Experience in a 24x7 production environment
* Experience of monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar)