
Applied Scientist, AWS Science of Security, AWS Provable Security
Denver, COJob$143–223K/yrSeen todaySeen in employer's feed today
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New roles like this one near Denver, CO, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
The Applied Scientist will design, develop, evaluate, and deploy automated reasoning solutions to verify software correctness, security, and reliability. The role applies formal methods and program analysis to business and engineering problems, develops verification tools and frameworks, and researches novel approaches. The scientist will work with AWS’s automated reasoning community on challenging problems and deliver solutions with customer and business impact.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
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.
About the team
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage you 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 exploring what's next.
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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. Learn more about our benefits at https://amazon.jobs/en/benefits .
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
How this job compares
Set against the 1,075 open Applied Scientist jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$143–223K/yr
- US median$158–264K/yr1,036 salary ranges
This range's midpoint, $183K, is 7% below the US median midpoint ($197K) — in the lowest quarter of Applied Scientist salary ranges across the US.
- Openings
- Olive Jobs lists 14 open Applied Scientist jobs in Colorado and 1,075 across the US. Under 1% of them nationwide are listed as remote or flexible.
- Experience
- Applied Scientist postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 8 years (918 postings).
- Education
- 582 of the 1,075 open Applied Scientist jobs (54%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
Prepare for this role
You've read the whole posting — now see how you match it.

