Software Development Engineer II, Network AI
Amazon.com
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Join Amazon Web Services (AWS) Networking in Seattle, Washington as a Software Development Engineer (SDE) and be at the forefront of transforming network services with Generative AI solutions!
At AWS Networking, we are looking for someone who's ready to dive headfirst into the exciting world of Generative AI. This is an opportunity to pioneer innovative software solutions that will redefine how our network service teams operate and support one of the biggest cloud network in the world.
From day one, you'll be tackling real-world problems that will push your skills to the next level. From automating initial triaging of operational events to recommending next actions to remediate issues your contributions will have a significant impact on our success.
But wait, there's more! You won't be flying solo on this mission. You'll collaborate closely with a team of like-minded individuals who are just as passionate about pushing the boundaries of technology. You will be working hand in hand with research scientists, domain experts, and business and technical leaders. Together, you'll brainstorm ideas, tackle complex problems, and celebrate victories - big and small.
So, if you're ready to roll up your sleeves and make waves in the world of Generative AI, then AWS Networking is the place for you. Come join us in Seattle, and together, let's define the intersection of Networking and Gen AI .
Key job responsibilities
1.Collaborate closely with cross-functional teams (developers, network experts, scientists, leaders) to translate the business requirements into technical specifications.
2. Design, test, and develop scalable software systems that leverage Generative AI techniques to enhance network performance and reliability.
3. Continuously research and evaluate emerging technologies and methodologies to stay ahead of the curve in the field of Generative AI.
4. Participate in code reviews, provide constructive feedback, and contribute to a culture of excellence in software engineering practices.
5. Proactively identify and address technical challenges, troubleshoot issues, and drive resolution to ensure smooth operation of Generative AI software solutions.
6. Communicate effectively with stakeholders to convey project status, solicit feedback, and drive towards the objectives.
8. Own the operational excellence of the software that we develop.
9. Contribute to improving our documentation, processes, and tools so that we improve our performance as a team.
About the team
*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.
*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates 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.
*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.
*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 empower 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 and 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.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Join Amazon Web Services (AWS) Networking in Seattle, Washington as a Software Development Engineer (SDE) and be at the forefront of transforming network services with Generative AI solutions!
At AWS Networking, we are looking for someone who's ready to dive headfirst into the exciting world of Generative AI. This is an opportunity to pioneer innovative software solutions that will redefine how our network service teams operate and support one of the biggest cloud network in the world.
From day one, you'll be tackling real-world problems that will push your skills to the next level. From automating initial triaging of operational events to recommending next actions to remediate issues your contributions will have a significant impact on our success.
But wait, there's more! You won't be flying solo on this mission. You'll collaborate closely with a team of like-minded individuals who are just as passionate about pushing the boundaries of technology. You will be working hand in hand with research scientists, domain experts, and business and technical leaders. Together, you'll brainstorm ideas, tackle complex problems, and celebrate victories - big and small.
So, if you're ready to roll up your sleeves and make waves in the world of Generative AI, then AWS Networking is the place for you. Come join us in Seattle, and together, let's define the intersection of Networking and Gen AI .
Key job responsibilities
1.Collaborate closely with cross-functional teams (developers, network experts, scientists, leaders) to translate the business requirements into technical specifications.
2. Design, test, and develop scalable software systems that leverage Generative AI techniques to enhance network performance and reliability.
3. Continuously research and evaluate emerging technologies and methodologies to stay ahead of the curve in the field of Generative AI.
4. Participate in code reviews, provide constructive feedback, and contribute to a culture of excellence in software engineering practices.
5. Proactively identify and address technical challenges, troubleshoot issues, and drive resolution to ensure smooth operation of Generative AI software solutions.
6. Communicate effectively with stakeholders to convey project status, solicit feedback, and drive towards the objectives.
8. Own the operational excellence of the software that we develop.
9. Contribute to improving our documentation, processes, and tools so that we improve our performance as a team.
About the team
*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.
*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates 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.
*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.
*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 empower 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 and 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.
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