DevOps Delivery Consultant, AWS Generative AI Innovation Center
Job Summary:
We are seeking a skilled DevOps Consultant to assist customers in launching generative AI workloads on AWS, designing and implementing distributed model training pipelines, or deploying inference at scale. The ideal candidate will have experience with automation of infrastructure, applications, and machine learning workflows.
About the Role
You will work closely with customers and partners in small teams, leading with your expertise to become their trusted advisor. You will also collaborate on internal projects, present on technical events, or develop reusable assets, tools, white papers, or reference architectures.
Key Responsibilities
* Assist customers in launching generative AI workloads on AWS
* Design and implement distributed model training pipelines
* Deploy inference at scale
* Provide guidance on automation of infrastructure, applications, and machine learning workflows
* Help customer teams build serverless or containerized applications
* Aid in adopting DevOps culture and best practices
About the Team
The Generative AI Innovation Center empowers customers to harness state-of-the-art AI technologies for transformative business opportunities. Our multidisciplinary team collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale.
Requirements
* Automating real-world production environments with Infrastructure-as-Code (IaC) tools like CloudFormation, CDK, or Terraform
* Containerization & orchestration (Docker, Kubernetes) and cloud container services (EKS, ECS, Fargate)
* IP networking, VPNs, DNS, load balancing, and firewalls
* Continuous integration/delivery (CI/CD) and corresponding tools (i.e. AWS Code-family, ArgoCD, Jenkins, Bamboo, TeamCity, GitHub actions, etc.)
* Linux and/or Windows-based systems administration
* Software development proficiency in at least one scripting/programming language (i.e. Typescript/Python/Java/C++/Go)
* Basic understanding of Machine Learning concepts related to model training, deployment, inference, MLOps, etc.
Preferred Qualifications
* Experience designing and building highly available, resilient, large-scale, distributed systems that utilize load balancing, horizontal scalability, and automated disaster recovery
* Experience working directly with customers, partners, or third-party vendors
* Experience with microservices, distributed application architecture, and integrating back-end and front-end application components
* Experience with automated testing tools
* Ability to communicate and present fluently in English, both verbally and in writing
What We Offer
At Amazon, 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.
Equal Opportunities Employer
Amazon is an equal opportunities 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.