Privacy Engineer, Trust by Design, Devices & Services Trust, Privacy, and Accessibility (TPA)

Mid • On-site

$136,000 - $212,800/yr

Sunnyvale, CA , +4

DESCRIPTION

Devices & Services Trust, Privacy and Accessibility (TPA) organization is responsible for maintaining and raising the trust bar for Amazon customers across a diverse set of 30+ Devices and Services (D&S). We offer horizontal services for builders and customer-facing capabilities that provides customers to address trust needs of our global customers and to ensure compliance.

The DSTPA team is looking for an experienced Privacy Engineer within our Trust by Design team to help product and engineering teams architect privacy-centric solutions that harmonize customer trust with innovation. This role will be instrumental in embedding trust-by-design and default principles from product inception through implementation and then maintenance, ensuring compliance with global privacy regulations while helping us build and scale products that inspire customer confidence through robust privacy controls and thoughtful data stewardship. The ideal candidate will excel at navigating complex trust scenarios independently, developing scalable privacy frameworks for emerging technologies like GenAI and Ambient Computing, and collaborating with cross-functional stakeholders to deliver innovative solutions that balance customer trust, user experience, and business objectives across our global customer base.

Key job responsibilities
* Identify and assess customer trust risks throughout the product and data handling lifecycle, conducting thorough technical risk assessments
* Work with engineering teams to integrate trust-by-design and trust-by-default principles into system and product development, ensuring technical trust-preserving controls are considered from the outset, not retrofitted later
* Work with engineering teams to develop, implement, and maintain technical and procedural customer trust controls, such as data minimization, anonymization, encryption, retention and deletion, and ingress/egress restrictions
* Test and validate customer trust controls through the development and execution of test cases, ensuring operational behavior aligns with trust requirements and policies
* Document and track customer trust issues, inconsistencies, and remediation plans, ensuring timely closure and lessons learned are shared across teams
* Support deployment and maintenance of “paved paths”—standardized, scalable customer trust solutions and guidance to prevent recurrence of known risks and streamline compliance for product teams
* Collaborate with legal, compliance, engineering, and product teams to bridge the gap between policy and technical implementation, ensuring customer trust is an enabler for business objectives
* Create centralized tooling and systems that helps the Trust by Design function to move fast while meeting our obligations
* Identify and execute on opportunities to improve the culture and capacity of the Trust by Design team across D&S
* Design and implement LLM-powered solutions for automating complex privacy analysis tasks, including policy interpretation, risk assessment workflows, and compliance gap identification that require advanced reasoning and contextual understanding
* Develop sophisticated prompt engineering strategies and frameworks to enable LLMs to perform complex privacy-related reasoning tasks, such as analyzing system architectures for trust implications, generating privacy control recommendations, and automating privacy impact assessments

A day in the life
In this role, no two days are the same — and that’s by design. You’ll spend a good part of your time engaging with a wide range of cross-functional partners across product, legal, policy, risk, science, UX, and other engineering teams to gather insights, clarify trust requirements, and uncover both issues and opportunities.

You’ll participate in frequent brainstorming sessions to shape new ideas, solve complex trust problems, and fix system design and engineering issues that address not just immediate needs, but also set us up for long-term success. Staying connected is key: you’ll attend cross-org syncs to stay informed on evolving strategies and dependencies, while also representing your work in key forums.

You’ll help drive the D&S engineering and product teams to build products, services, and devices that are responsible, innovative, and aligned with our broader vision of trust and customer impact.

About the team
Trust Fundamentals Operations (TrustFunOps) is a “horizontal” organization responsible for building technologies, programs, and services at Amazon scale that instill and grow customer trust, create mechanisms to confidently attain existing and ever-evolving regulatory objectives, and ensure the efficiency and effectiveness of our business partners and stakeholders to meet their trust obligations without disruption — in that order of priority. Within TrustFunOps, Trust by Design function empowers teams within Devices & Services to deliver trusted, privacy-forward, and accessible experiences to our customers by providing proactive, risk-intelligent guidance with closed-loop validation. TrustFunOps is dedicated to supporting new members. We have a broad mix of job families, experience levels and tenures, and are building an environment that celebrates subject matter expertise, collaboration, knowledge sharing, and mentorship.

BASIC QUALIFICATIONS

- Bachelor's degree in computer science or equivalent
- 3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience
- 3+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience

PREFERRED QUALIFICATIONS

- Proficiency in privacy and trust-enhancing technologies and secure system design
- Experience with privacy and trust risk management and engineering frameworks, regulatory compliance, and AI domain expertise
- Excellent communication and collaboration skills for cross-functional teamwork
- Experience with Large Language Models (LLMs) and Generative AI technologies, including hands-on experience building solutions that leverage AI for complex analytical and reasoning tasks
- Demonstrated expertise in prompt engineering and LLM optimization, with proven ability to design prompts that enable AI systems to perform sophisticated reasoning for privacy and trust-related use cases
- Must be a good human
- Must work well with others and be a team player, have high moral standards, lead with integrity and empathy

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon

Amazon.com, Inc. founded in 1994 by Jeff Bezos in the cozy confines of his Seattle garage, Amazon.com, Inc. quickly evolved from a humble online bookstore to a colossal e-commerce powerhouse. Today, it offers an extensive range of products from DVDs and electronics to furniture and groceries. With a global footprint that spans continents—from Canada and the UK to Japan and Brazil—Amazon's presence is truly international. The company has not only diversified into various domains, including acquiring Twitch in 2014 and venturing into the film industry in 2015, but also introduced initiatives like the brand registry program to safeguard intellectual property. Despite the hurdles of labor relations and competitive practices, Amazon remains a dominant force in the global e-commerce landscape.