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Amazon
Systems Engineer, AI/ML
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Amazon
Systems Engineer, AI/ML
London
NEW
Hybrid
Visa sponsorship
Description
ID: Job ID: 2884276
Hybrid requirements: This role has flexible working patterns.
Would you like to help implement innovative cloud computing solutions and solve the world’s most complex technical problems? Do you have a deep passion and desire to engineer and operate the world’s largest cloud computing infrastructure to provide a better world for future generations?
Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services platform in the cloud. With AWS, customers provision compute power, storage, database, and other cloud resources as their business demands them. To meet the growing demand for AWS Services around the globe, we need exceptionally motivated people who are driven by learning and innovation.
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, including support for customers who require specialized security solutions for their cloud services.
The AWS AI/ML team helps to support and operate some of the most comprehensive artificial intelligence and machine learning services in the world. From SageMaker to Bedrock to Amazon Q, the AI/ML team manage some of the most exciting, rapidly evolving services in AWS. If you join us, you’ll be part of a world-class team in a dynamic environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale and to gain world-class experience in cloud computing, artificial intelligence, and machine learning. You’ll be surrounded by people who are passionate about their field, believe that first-class service is critical to customer success, and are committed to rapid iteration and continual improvement.
Top reasons to join our team:
Be a catalyst to deliver truly disruptive products that are growing rapidly
Define, build, own, and run services in high-growth environments
Solve unique and first-order problems in rapidly evolving AWS services such as SageMaker, Bedrock, and Amazon Q
Learn how to build and operate distributed systems at scale
Build and influence the tools and utilities that are part of the AWS fleet running our internal services
Key job responsibilities
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.
Our Systems Engineers spend time:
Operating the world’s most advanced cloud computing infrastructure
Simplifying and reinventing systems, processes, and tools to make things better for our customers and our builders
Building unique solutions to our customers’ technical problems
Studying and learning from industry-recognized Amazon Senior and Principal Engineers
Coaching, hiring, and developing team members
A day in the life
On a typical day, engineers might dive deep into understanding the root cause of a customer issue, investigate why a metric is trending the wrong way, consult with top engineers at Amazon, or discuss radical new approaches to automate solutions to operational issues.
BASIC QUALIFICATIONS
Experience with Linux/Unix
Knowledge of systems engineering fundamentals (networking, storage, operating systems)
Experience in networking, storage systems, operating systems, and hands-on systems engineering
Experience in automating, deploying, and supporting large-scale infrastructure
Experience with distributed systems at scale
PREFERRED QUALIFICATIONS
Experience with CI/CD pipelines build processes
Experience building services using AWS products
Experience utilizing AWS cloud solutions in a DevOps environment
Experience designing or architecting (design patterns, reliability, and scaling) new and existing systems
Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Role tech stack
Amazon
Systems Engineer, AI/ML
London
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