Applied Scientist, AWS Science of Security, AWS Provable Security

Application deadline: Nov 8, 2026

AWS Science of Security is dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for security, privacy, and sovereignty. The team sits within Amazon Security and operates in a fast-growing, startup-like environment within AWS.

You will participate in the design, development, evaluation, and deployment of automated reasoning solutions for verifying the correctness, security, and reliability of software systems. You'll be applying techniques such as constraint solving, model checking, static analysis, theorem proving, and program analysis to unique applications in business and engineering. How you build and deploy automated reasoning tools and verification frameworks, plus research and implement novel approaches, will add distinct value to the business and our customers.

This is work on open, hard problems: the kind where the tools you build get used to secure systems that millions of customers depend on. You will dive deep alongside our world-renowned automated reasoning scientist community, bring fresh ideas from your research experience, and see your work ship rather than sit on a shelf.

This is an exceptional opportunity to join a fast moving segment of AWS and help shape the technology, product and business, with notable customer and business impact.

Key job responsibilities

• Solve significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation
• Own the design, implementation, and delivery of solutions that have a long-term quantifiable impact
• Provide cross-organizational technical influence, driving effective outcomes by sharing your deep knowledge and experience
• Develop fundamentally new solutions for uniquely challenging business problems

A day in the life

This is a unique opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a meaningful business and customer impact.

Basic Qualifications

• PhD or equivalent research experience
• Experience in areas like SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, or program analysis

Preferred Qualifications

• Experience programming in OCaml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or a related language

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

• USA, NY, New York - 172,400.00 - 223,400.00 USD annually
• USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually
• USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually