System Development Engineer, Managed Operations
Amazon is hiring a System Development Engineer, Managed Operations in Madrid, Spain. Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Bedrock and prompt engineering.
- Level lists 20,000+ other open roles at Amazon.
- The role was posted in the last few days.
AI in this role
Your responsibilities will encompass overseeing the ongoing operations and expansion of the ESC, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of day-to-day operations, and ensuring continuous improvements in availability, reliability, latency, performance, and efficiency of the ESC. You will be required to occasionally participate in "on-call" rotations to resolve incidents occurring out-of-hours.
The overarching goal is to deliver scalable services and ensure a high-availability experience for EU customers. If you are an experienced professional ready for a challenging and impactful opportunity, we invite you to join our efforts in operating and scaling a best-in-class development engineering and operations team that aligns with AWS' commitment to customer satisfaction and continual innovation.
Key job responsibilities
Utility Computing (UC)
European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC).
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. 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. Within AWS UC, Managed Operations engineers engage with AWS customers who require specialized security solutions for their cloud services.
Eligibility requirement
Fluency in written and spoken English is required.
Candidate must be a national of an EU member state and residing in the EU to operate the AWS European Sovereign Cloud.
Amazon will provide relocation support for successful applicants relocating within the European Union.
Employees will participate in an On-Call rota.
A day in the life
A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of day-to-day operations, and ensuring improvements in availability, reliability, latency, performance, and efficiency of the ESC. You’ll spend roughly 50% of your time operating production systems and 50% working with your team to make long-term improvements to the reliability, availability, and performance of those software systems. Over the course of a week, you will root cause why some deployments recently failed, and fix those bugs. Later in the week you may execute a highly sensitive time-critical change to production. You can round off the week by participating in design discussions by another team, writing code, and providing actionable feedback to your team’s code. You will be required to occasionally participate in “on-call” rotations to resolve incidents occurring out-of-hours.
Basic qualifications
- Experience in Linux OS and network troubleshooting, or experience in networking administration and troubleshooting
- Experience programming with at least one software programming language, or experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- This role requires you to be a national of an EU member state
Preferred qualifications
- Bachelor's degree in Computer Science or other technical degree or related experience
- Able to execute standard operating procedures and following operational best practices
- Knowledge or experience operating 24x7 high-availability, distributed software applications, performance tuning software applications and optimizing fleet utilization and monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar)
- Knowledge or experience with Infrastructure as Code, (such as CDK, CloudFormation, Puppet, Chef, Ansible, or similar)
- 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
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.
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
System Development Engineer, Managed Operations at Amazon rates 28 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.
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
- How do you structure and test a prompt to get consistent output from a language model?
- Walk me through how you've used Bedrock in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering and Bedrock. 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.
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