

Share
The Cloud Automated Reasoning Group in AWS Bedrock Core Platform is looking for an Applied Scientist with experience in building scalable formal reasoning solutions that delight customers. You will be part of a world-class team building the next generation of automated reasoning tools and services.AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things.You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills, are self-driven and own the delivery of high quality results in a fast-paced environment.As an Applied Scientist in AWS Bedrock, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of Automated Reasoning checks. You will:- Define and implement new formal reasoning features that employ scalable and efficient approaches to solve complex problems using Automated Reasoning, Machine Learning, and Generative AI technologies- Work in an agile, startup-like development environment, where you are always working on the most important stuff
- Deliver high-quality scientific artifactsKey job responsibilities
Work closely with product, science, and engineering to mathematically validate the accuracy of responses generated by large language models (LLMs) and prevent factual errors from hallucinations.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.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
- M.S. or Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field
- At least 5 years of industrial/academic experience in formal verification, program analysis, constraint-solving, and/or theorem proving
- At least 5 years of experience with programming languages such as Java, Scala, C/C++, Ruby, or Python and open-source technologies
- At least 5 years of experience in design and analysis of algorithms and data structures
- Ph.D. in Electrical Engineering, Computer Science, Mathematics, or related technical field
- Deep understanding of formal methods, formal verification, constraint solving, and knowledge representation
- Ability to address customer or business problems when a problem is ill-defined
- Ability to work in a fast paced and agile development environment
- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements
- Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audiences
- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead efforts to meet aggressive timelines with optimal solutions
These jobs might be a good fit

Share
The TAM role is not directly hands on keyboard within the customer’s environment for troubleshooting customer support issues, rather you will work with appropriate engineers and service teams to see issues through to resolution. More importantly you will work proactively to help craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.About AWSWork/Life BalanceStandardized AWS Taglines
About AWSDiverse 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.
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
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.
- Bachelor’s Degree in Computer Science, Math, or related discipline, and 7+ years of equivalent work experience or 9+ years of related work experience.
- 7+ years of technical engineering experience.
- Experience in Informational Technology operations
- 7+ years of experience with operational parameters and troubleshooting for four (4) of the following: Compute / Storage / AI/ML / EKS / Networking / Security / DevOps / Big Data and Analytics / Applications Development in a distributed systems environment
- Internal enterprise or external customer-facing experience as a technical lead
- Professional oral and written communication skills, presenting to an audience containing one or more executive team member(s)
- Experience in a 24x7 operational services or support environment Experience in internal enterprise or external customer-facing environment as a technical lead Practical knowledge of 5G network architecture and call-flows and experience in troubleshooting 5G networks Networking knowledge (DNS, IPsec, BGP, VPN, Load Balancing).
- Experience with AWS services and/or other cloud offerings
These jobs might be a good fit

Share
Key job responsibilities2. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices.
3. Functionally decompose complex problems into simple, straight-forward solutions5. Work with the business team and project managers to convert functional requirements into detailed technical specifications.
6. Work with engineers both onsite and remotely to define technical tasks and build detailed implementation plans.
7. Participate in and provide design inputs towards the Platform initiative for streamlining international expansions.A day in the life
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ 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
These jobs might be a good fit

Share
In this role, you will own customer issues throughout their complete lifecycle while providing knowledgeable and responsive technical support for our enterprise customers. Our customers include small and large enterprise customers and includes on-premises, and cloud based workflows. You will be responsible for issue investigation, identifying software defects, in-depth and complex repro cases across multiple products and services, workarounds and researching innovative or unfamiliar technologies. This is a complex, fast-paced, and high-throughput environment where frequent context shifting and multi-tasking is required. As an engineer on the team, there are additional expectations of leadership and expertise in multiple disciplines.Key job responsibilities
In this role, you will:Act as an escalation point for the most complex and in-depth issues that potentially span multiple external and internal organizations while working independentlyCommunicate directly with internal organizations to complete root cause analyses, issue investigation, workarounds and defect resolution
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.
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
- Bachelor's degree in computer science, engineering, mathematics or equivalent, or 3+ years of professional or military experience
- 3+ years of experience working in enterprise-level technical/customer support
- 3+ years of experience with Linux operating systems, particularly with networking and system administration
- 3+ years of experience with LAN configuration, Internet protocols, server applications and related troubleshooting tools
These jobs might be a good fit

Share
The Cloud Automated Reasoning Group in AWS Bedrock Core Platform is looking for an Applied Scientist with experience in building scalable formal reasoning solutions that delight customers. You will be part of a world-class team building the next generation of automated reasoning tools and services.AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things.You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills, are self-driven and own the delivery of high quality results in a fast-paced environment.As an Applied Scientist in AWS Bedrock, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of Automated Reasoning checks. You will:- Define and implement new formal reasoning features that employ scalable and efficient approaches to solve complex problems using Automated Reasoning, Machine Learning, and Generative AI technologies- Work in an agile, startup-like development environment, where you are always working on the most important stuff
- Deliver high-quality scientific artifactsKey job responsibilities
Work closely with product, science, and engineering to mathematically validate the accuracy of responses generated by large language models (LLMs) and prevent factual errors from hallucinations.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.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
- M.S. or Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field
- At least 5 years of industrial/academic experience in formal verification, program analysis, constraint-solving, and/or theorem proving
- At least 5 years of experience with programming languages such as Java, Scala, C/C++, Ruby, or Python and open-source technologies
- At least 5 years of experience in design and analysis of algorithms and data structures
- Ph.D. in Electrical Engineering, Computer Science, Mathematics, or related technical field
- Deep understanding of formal methods, formal verification, constraint solving, and knowledge representation
- Ability to address customer or business problems when a problem is ill-defined
- Ability to work in a fast paced and agile development environment
- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements
- Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audiences
- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead efforts to meet aggressive timelines with optimal solutions
These jobs might be a good fit