L6 - SDE for AWS Bedrock team, Bedrock Core Systems

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 Bedrock Core Systems (BRCS) team is responsible for building and enhancing the core platform experience of the Bedrock GenAI ecosystem. The team is driving critical initiatives to accelerate the Bedrock roadmap and deliver exceptional customer outcomes. Experience with Data engineering and/or Gen AI core primitives such as Model evaluation, Fine Tuning, Data augmentation etc is preferred, but not required. This position within the AWS ML/AI team presents a unique and rare opportunity to get in on the ground floor within a fast growing business and help shape the technology, product and the business. A successful candidate will bring deep technical and software expertise, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact.
What we own :
* Building a world-class forecasting platform that scales to handle customer requests in AWS ML/AI Services
* Expanding inventory replenishment models and systems in the fast-growing AWS GenAI Bedrock service product portfolio.
* Finding out the optimal tradeoff between AWS service availability and fleet utilization.
* Driving fleet utilization improvement where each 1% means millions of additional free cash flow.
* Automating tactical and strategic capacity planning tools to optimize for service availability and infrastructure cost.
What you will learn:
* GenAI foundational primitives such as Model evaluation, Fine Tuning, Data augmentation etc
* ML/AI capacity management and metrics for the AWS GenAI Services
* Resource management and admission control for the Cloud.
* The internals of all AWS services.
* How to build large scale distributed systems for both internal and external AWS customers.
* Develop deep and broad technical expertise to mentor engineers and provide leadership on complex technical issues
Key job responsibilities
Basic Qualifications
* 5-8 years of non-internship professional software development experience
* 5-8 years of programming with at least one software programming language experience
* 5-8 years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
* Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
* 5-8 years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
* Bachelor's degree in computer science or equivalent
About the team
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 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.
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 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 & 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.
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent