Site Reliability Engineer , Access and Identity Services
Amazon is hiring a Site Reliability Engineer , Access and Identity Services in London, United Kingdom. Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
- The posting mentions Linux, AWS and AI Tooling among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 21,000+ other open roles on Level.
- Posted within the past week.
AI in this role
Site Reliability Engineer building and operating secure cloud access services while utilizing AI tools for operational automation.
AWS is seeking a Systems Engineer to build and operate services for our customers, to automate service operations and deployment methods, and provide mentoring for junior team members. You will be working in a large-scale, high availability environment, building and operating critical Access and Identity services for our customers.
This exciting role is designed for someone with a strong engineering background and a passion for driving efficiency, quality, and process improvements within our service operations. We are an operations team, but a key focus is driving automation to increase ops efficiency. You will have the opportunity to utilize AI tooling and to build your own solutions that automate away manual tasks.
As a Systems Engineer at Amazon you will utilize your Linux skills to troubleshoot, innovate fixes and workarounds, keep software up-to-date, and provide data and metrics that help manage the capacity and efficiency of our services. You will draw on your networking knowledge to identify and troubleshoot network connectivity issues. Our Systems Engineering roles enable engineers to develop a broad range of skills; our engineers take ownership and gain knowledge across a complex technology stack.
Top reasons to join our team:
- Learn how to build and operate distributed systems at massive scale
- Be a catalyst to deliver truly disruptive products that are growing rapidly
- Solve unique and first-order problems at massive-scale across many AWS Services
- Build and influence the tools and utilities that are part of the AWS fleet running our internal services
- Deliver solutions which reduce manual toil across our organization
Key job responsibilities
Amazon has a collaborative, purposeful and enthusiastic environment where we “Work Hard, Have Fun, Make History.”
Our Systems Engineers are expected to be leaders in their teams by becoming subject matter experts on multiple AWS services. They develop, build, deploy, operate, sustain and grow their services in cloud production environments. They are able to utilize trends and metrics to identify opportunities for improvements. They help develop and refine procedures used by their team and internal customers. They are able to develop at a high standard and can deal with new and ambiguous problem domains while consistently delivering customer impacting change.
A day in the life
On a typical day engineers might work to build infrastructure and services for our customers. They will dive deep into understanding the root cause of a customer issue, investigate why a metric is trending the wrong way and consult with senior engineers at Amazon. We believe in making out-of-hours support as painless as possible. To achieve this, we implement Operational Excellence best practices and strive to automate manual processes.
About the team
About AWS
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.
Why AWS?
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.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Basic qualifications
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience in networking, storage systems, operating systems and hands-on systems engineering
Preferred qualifications
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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.
How we rate this
Site Reliability Engineer , Access and Identity Services at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where site reliability was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where troubleshooting was part of your work. What did you do?
- Walk me through how you've used Linux in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Site Reliability, Automation, Cloud Computing, Troubleshooting, and Linux. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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