Amazon
Job ID: 3091594 | Amazon Web Services, Inc.
Do you like startups? Are you an expert in the development and practical application of deep learning and generative AI? Are you interested in the intersection of cloud computing, generative AI, and disrupting innovation? Yes? We have a role you might find interesting.
Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and challenge the status quo. They seek to address underserved customers, or to challenge incumbents. They usually operate in an environment of scarcity: whether that’s capital, engineering resource, or experience. This is where you come in.
We are looking for technical builders who love the idea of working with early stage startups to help them as they grow. In this role, you’ll work directly with a variety of interesting customers and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.
As a member of the Startups team, you will work directly with customers to help them successfully leverage cutting‑edge AWS technology to develop, train, tune, and deploy the next generation of generative AI foundation models at scale.
As well as spending time working directly with customers, you’ll also get plenty of time to learn new technologies and keep your skills fresh. We have 200+ services across a range of different categories and it’s important that we can help startups take advantages of the right ones. You’ll also play an important role as an advocate with our product teams to make sure we are building the right products and features for the startups you work with. And for the customers you don’t get to work with on a 1:1 basis you’ll share knowledge more broadly by working on technical content and presenting at events.
Key Responsibilities
Design and implement cloud-native architectures for startup customers
Create technical documentation, implementation guides, and customer-facing assets
Provide detailed technical guidance on AWS services and best practices
Contribute to internal knowledge bases and reusable solution templates
Domain Expertise (depth in at least two)
ML/AI Infrastructure
Implement training and inference systems using AWS AI/ML services
Deploy end-to-end ML pipelines using AWS native tools
Optimize model serving architectures for performance and cost
Cloud Native & Kubernetes
Design and implement EKS-based solutions and microservices architectures
Apply container security and operational best practices
DevOps & Reliability
Implement CI/CD pipelines and IaC solutions using AWS native tools
Apply architectural best practices for high availability and scaling
Data Engineering
Design data pipelines and analytics solutions using AWS services
Implement data governance and security controls
Basic Qualifications
5+ years of design, implementation, or consulting in applications and infrastructures experience
5+ years of specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
Technical expertise in at least two domains: ML/AI Infrastructure, Cloud Native & Kubernetes, DevOps & Reliability, or Data Engineering
Strong programming skills with proficiency in multiple languages, plus extensive knowledge of distributed systems, container orchestration, and microservices architecture
Demonstrated ability to provide technical leadership through documentation creation, implementation guidance, and direct stakeholder engagement
Practical experience with ML/AI frameworks, data engineering concepts, and implementing secure, scalable solutions using AWS native tools and services
Preferred Qualifications
Experience working within software development or Internet-related industries
Experience migrating or transforming legacy customer solutions to the cloud
Experience working with AWS technologies from a dev/ops perspective
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Do you like startups? Are you an expert in the development and practical application of deep learning and generative AI? Are you interested in the intersection of cloud computing, generative AI, and disrupting innovation? Yes? We have a role you might find interesting.
Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and challenge the status quo. They seek to address underserved customers, or to challenge incumbents. They usually operate in an environment of scarcity: whether that’s capital, engineering resource, or experience. This is where you come in.
We are looking for technical builders who love the idea of working with early stage startups to help them as they grow. In this role, you’ll work directly with a variety of interesting customers and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.
As a member of the Startups team, you will work directly with customers to help them successfully leverage cutting‑edge AWS technology to develop, train, tune, and deploy the next generation of generative AI foundation models at scale.
As well as spending time working directly with customers, you’ll also get plenty of time to learn new technologies and keep your skills fresh. We have 200+ services across a range of different categories and it’s important that we can help startups take advantages of the right ones. You’ll also play an important role as an advocate with our product teams to make sure we are building the right products and features for the startups you work with. And for the customers you don’t get to work with on a 1:1 basis you’ll share knowledge more broadly by working on technical content and presenting at events.
Key Responsibilities
Design and implement cloud-native architectures for startup customers
Create technical documentation, implementation guides, and customer-facing assets
Provide detailed technical guidance on AWS services and best practices
Contribute to internal knowledge bases and reusable solution templates
Domain Expertise (depth in at least two)
ML/AI Infrastructure
Implement training and inference systems using AWS AI/ML services
Deploy end-to-end ML pipelines using AWS native tools
Optimize model serving architectures for performance and cost
Cloud Native & Kubernetes
Design and implement EKS-based solutions and microservices architectures
Apply container security and operational best practices
DevOps & Reliability
Implement CI/CD pipelines and IaC solutions using AWS native tools
Apply architectural best practices for high availability and scaling
Data Engineering
Design data pipelines and analytics solutions using AWS services
Implement data governance and security controls
Basic Qualifications
5+ years of design, implementation, or consulting in applications and infrastructures experience
5+ years of specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
Technical expertise in at least two domains: ML/AI Infrastructure, Cloud Native & Kubernetes, DevOps & Reliability, or Data Engineering
Strong programming skills with proficiency in multiple languages, plus extensive knowledge of distributed systems, container orchestration, and microservices architecture
Demonstrated ability to provide technical leadership through documentation creation, implementation guidance, and direct stakeholder engagement
Practical experience with ML/AI frameworks, data engineering concepts, and implementing secure, scalable solutions using AWS native tools and services
Preferred Qualifications
Experience working within software development or Internet-related industries
Experience migrating or transforming legacy customer solutions to the cloud
Experience working with AWS technologies from a dev/ops perspective
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr