Applied Scientist, Cloud Management
Seattle, Washington, USA
Amazon.com
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Job summary
The Automated Reasoning Group in AWS Cloud Management is looking for an Applied Scientist with experience in building and applying scalable software analysis solutions that will delight customers. You will be part of a world-class team building the next generation of automated reasoning tools and services for software validation. You will apply your knowledge to propose solutions, create prototypes, and transform prototypes into production systems. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You have strong verbal and written communication skills, are self-driven and deliver high quality results in a fast-paced environment.
Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS ensures that the systems through which we deliver these capabilities are secure, available, durable and functionally correct. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Key job responsibilities
As an applied scientist, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will:
* Research algorithms in code-level automated reasoning involving the Java and Go languages to scale automated proofs of AWS code
* Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, ease of use, and security
* Use software engineering best practices to ensure a high standard of quality for all of the team deliverables
* Prove properties of business-critical software and systems software
About the team
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. AWS Systems Manager is the operations hub for the AWS cloud. Many customers from startups to enterprises are running their entire infrastructure or parts of it in AWS. Operating this infrastructure in the cloud in a reliable way is absolutely important to our customers and we are a core part of that story. Many IT administrators and DevOps engineers rely on Systems Manager to operate their infrastructure safely and securely at scale. Systems Manager provides a unified operational dashboard to view operational data from multiple AWS services, manage large fleet of instances, manage their distributed applications as a single unit and automate their
operational tasks/runbooks and define safe operational workflows.
You will be working with a team of formal verification specialists spanning recently hired PhDs to industry veterans. You will work collaboratively to deliver results in the form of verified code and tools to accelerate code verification for our customer teams. Our vision is to provide solutions that are proven correct without compromising performance.
* M.S. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field
* At least 2 years of industrial/academic experience in formal verification, program analysis, constraint-solving, and/or theorem proving
* At least 2 years of experience with programming languages such as C/C++ or Rust and open-source technologies
* At least 2 years of experience in design and analysis of algorithms and data structures
* Experience developing/modifying compilers
* Experience developing or applying satisfiability solvers (SAT or SMT)
* 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
Amazon is committed to a diverse and inclusive workplace. 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
The Automated Reasoning Group in AWS Cloud Management is looking for an Applied Scientist with experience in building and applying scalable software analysis solutions that will delight customers. You will be part of a world-class team building the next generation of automated reasoning tools and services for software validation. You will apply your knowledge to propose solutions, create prototypes, and transform prototypes into production systems. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You have strong verbal and written communication skills, are self-driven and deliver high quality results in a fast-paced environment.
Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS ensures that the systems through which we deliver these capabilities are secure, available, durable and functionally correct. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Key job responsibilities
As an applied scientist, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will:
* Research algorithms in code-level automated reasoning involving the Java and Go languages to scale automated proofs of AWS code
* Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, ease of use, and security
* Use software engineering best practices to ensure a high standard of quality for all of the team deliverables
* Prove properties of business-critical software and systems software
About the team
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. AWS Systems Manager is the operations hub for the AWS cloud. Many customers from startups to enterprises are running their entire infrastructure or parts of it in AWS. Operating this infrastructure in the cloud in a reliable way is absolutely important to our customers and we are a core part of that story. Many IT administrators and DevOps engineers rely on Systems Manager to operate their infrastructure safely and securely at scale. Systems Manager provides a unified operational dashboard to view operational data from multiple AWS services, manage large fleet of instances, manage their distributed applications as a single unit and automate their
operational tasks/runbooks and define safe operational workflows.
You will be working with a team of formal verification specialists spanning recently hired PhDs to industry veterans. You will work collaboratively to deliver results in the form of verified code and tools to accelerate code verification for our customer teams. Our vision is to provide solutions that are proven correct without compromising performance.
Basic Qualifications
* M.S. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field
* At least 2 years of industrial/academic experience in formal verification, program analysis, constraint-solving, and/or theorem proving
* At least 2 years of experience with programming languages such as C/C++ or Rust and open-source technologies
* At least 2 years of experience in design and analysis of algorithms and data structures
Preferred Qualifications
* Ability to work in a fast paced and agile development environment* Experience developing/modifying compilers
* Experience developing or applying satisfiability solvers (SAT or SMT)
* 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
Amazon is committed to a diverse and inclusive workplace. 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Tags: Agile AWS C++ Computer Science DevOps Engineering Industrial Machine Learning Mathematics Research Rust Security
Perks/benefits: Career development Conferences
Region:
North America
Country:
United States
Job stats:
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Category:
Data Science Jobs
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