Software Development Engineer, Bedrock Commerce
Amazon.com
Join us at Amazon Web Services on the Amazon Bedrock Commerce team and make a difference in the world with Generative AI!
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.
Our team builds critical services in Bedrock Metering, Billing and Commerce. We enable access to several third-party models and revenue for Bedrock, and provide the infrastructure and services that enable Bedrock services to sell their features to AWS customers, as well as help customers understand and manage their costs. Bedrock Commerce also supports hundreds of third-party providers and ensures they are paid, billed, and invoiced appropriately.
Interested in Machine Learning and AI? Our team's mission is to make machine learning easy, stronger, and universal in the world of Natural Language and Speech. We have developed thriving ML services such as Comprehend, Kendra, Lex, and Transcribe. We continuously work on adding new services to our portfolio, which address real-world problems through research and innovation. We build state-of-the-art services using the latest deep learning techniques and highly scalable distributed systems engineering.
Key job responsibilities
As a Software Development Engineer (SDE), you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our worldwide customer base. You will collaborate closely with the larger AWS AI organization, influence our overall strategy, and define the team's roadmap. You will also drive the system architecture, spearhead best practices that enable quality products, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large-scale software systems, strong technical ability, great communication skills, and a motivation to achieve results in a fast-paced environment.
A day in the life
In your role, you will embody a unique blend of deep technical expertise and a fervent passion for software, data, and infrastructure solutions. Daily, you will showcase exemplary organizational and communication skills, navigating the complexities of a dynamic environment with agility—both independently and through the leadership of others. Your proficiency in managing intricate software products will shine as you adeptly translate business cases into technical specifications, crafting reliable and scalable solutions that meet the evolving needs of the business.
Your deep knowledge in building stable and scalable software and data solutions will be indispensable. With a rich background in database and distributed services technologies and the design of parallel systems, you will navigate the challenges of data management and processing with expertise. This might include writing code in Java or other popular programming languages, scripting in Bash to automate tasks, or delving into the latest innovations in big data technologies and software-defined infrastructure. Whether optimizing performance, ensuring data integrity, or exploring new ways to handle vast datasets, your skills will be crucial in advancing our Generative AI and Machine Learning tech infrastructure.
Through your actions and decisions, you will contribute significantly to the team's success, ensuring that the solutions developed not only meet immediate needs but also align with Amazon's long-term vision and objectives. Your day will be a blend of technical rigor, strategic thinking, and mentorship, making you a pivotal figure in the company's ongoing pursuit of innovation and excellence in the tech landscape.
About the team
The AWS team is a diverse group committed to inclusion and learning. Joining our team means being part of an environment that values every perspective. You'll be part of a team focused on knowledge sharing, mentorship, and collaborative growth and development.
This role is in a new team that is supporting the build of a new family of AI products. This team is considered strategic and has visibility with AWS leadership at the highest levels. The role offers a chance to build and launch new AI services from the ground up, learn the state of the art in Generative AI and Machine Learning (ML) technology, and work closely with an exceptional group of product, engineering, and science leaders.
Successful team members are collaborative problem solvers, dedicated to implementing solutions and maintaining high operational standards.
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 you 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
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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 in the cloud.
EEO/Accommodations
AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. 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. We celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting https://www.amazon.jobs/en/disability/us.
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.
Our team builds critical services in Bedrock Metering, Billing and Commerce. We enable access to several third-party models and revenue for Bedrock, and provide the infrastructure and services that enable Bedrock services to sell their features to AWS customers, as well as help customers understand and manage their costs. Bedrock Commerce also supports hundreds of third-party providers and ensures they are paid, billed, and invoiced appropriately.
Interested in Machine Learning and AI? Our team's mission is to make machine learning easy, stronger, and universal in the world of Natural Language and Speech. We have developed thriving ML services such as Comprehend, Kendra, Lex, and Transcribe. We continuously work on adding new services to our portfolio, which address real-world problems through research and innovation. We build state-of-the-art services using the latest deep learning techniques and highly scalable distributed systems engineering.
Key job responsibilities
As a Software Development Engineer (SDE), you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our worldwide customer base. You will collaborate closely with the larger AWS AI organization, influence our overall strategy, and define the team's roadmap. You will also drive the system architecture, spearhead best practices that enable quality products, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large-scale software systems, strong technical ability, great communication skills, and a motivation to achieve results in a fast-paced environment.
A day in the life
In your role, you will embody a unique blend of deep technical expertise and a fervent passion for software, data, and infrastructure solutions. Daily, you will showcase exemplary organizational and communication skills, navigating the complexities of a dynamic environment with agility—both independently and through the leadership of others. Your proficiency in managing intricate software products will shine as you adeptly translate business cases into technical specifications, crafting reliable and scalable solutions that meet the evolving needs of the business.
Your deep knowledge in building stable and scalable software and data solutions will be indispensable. With a rich background in database and distributed services technologies and the design of parallel systems, you will navigate the challenges of data management and processing with expertise. This might include writing code in Java or other popular programming languages, scripting in Bash to automate tasks, or delving into the latest innovations in big data technologies and software-defined infrastructure. Whether optimizing performance, ensuring data integrity, or exploring new ways to handle vast datasets, your skills will be crucial in advancing our Generative AI and Machine Learning tech infrastructure.
Through your actions and decisions, you will contribute significantly to the team's success, ensuring that the solutions developed not only meet immediate needs but also align with Amazon's long-term vision and objectives. Your day will be a blend of technical rigor, strategic thinking, and mentorship, making you a pivotal figure in the company's ongoing pursuit of innovation and excellence in the tech landscape.
About the team
The AWS team is a diverse group committed to inclusion and learning. Joining our team means being part of an environment that values every perspective. You'll be part of a team focused on knowledge sharing, mentorship, and collaborative growth and development.
This role is in a new team that is supporting the build of a new family of AI products. This team is considered strategic and has visibility with AWS leadership at the highest levels. The role offers a chance to build and launch new AI services from the ground up, learn the state of the art in Generative AI and Machine Learning (ML) technology, and work closely with an exceptional group of product, engineering, and science leaders.
Successful team members are collaborative problem solvers, dedicated to implementing solutions and maintaining high operational standards.
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 you 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
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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 in the cloud.
EEO/Accommodations
AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. 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. We celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting https://www.amazon.jobs/en/disability/us.
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