Privacy Engineer, Trust by Design, Devices & Services Trust, Privacy, and Accessibility (TPA)
Amazon
Sunnyvale, CA
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JOB DETAILS
SALARY
LOCATION
Sunnyvale, CA
POSTED
30+ days ago
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.
About the Company
A
Amazon
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or moreINDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles