ID.me operates a secure digital identity wallet offering identity proofing, multi-factor authentication, and group-affiliation verification, compliant with NIST 800-63-3 IAL2/AAL2 and used by government, healthcare, and retailers.
<div class="content-intro"><h2><strong>Company Overview</strong></h2> <p>ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit <a href="https://network.id.me/">https://network.id.me/</a>.</p> <p><span style="font-weight: 400;">ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings.</span></p> <p><span style="font-weight: 400;">At ID.me, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found <a href="https://insider.id.me/candidate-ai-use-in-interviewing/" target="_blank">here</a>.</span></p></div><h1><strong>About the Role</strong></h1> <p>ID.me is seeking a Principal Software Development Engineer to serve as the technical authority across the Person and Trust platforms — the systems that define who a person is and how much confidence ID.me can place in that identity. You will own the data model strategy, API contracts, and long-term architecture across the Person API, the Trust Service, and the Inspection Catalog, along with the verification and validation evidence that connects them.</p> <p>Person, Trust, and the Inspection Catalog are foundational systems at ID.me: together they determine who someone is, how inspection evidence is collected, and how much confidence to place in that identity. The role calls for deep expertise in data modeling and graph structures, applied to how verification and validation evidence and the resulting trust decisions are represented and queried. You will own how identity data is modeled — including how Person-to-SSN, Person-to-Face, and Person-to-Legal relationships are expressed — and how confidence in an identity is determined.</p> <p>You’ll set technical direction, establish the patterns and contracts that other teams build against, and partner closely with Product, Architecture, Identity, Security, and Compliance to deliver a trustworthy foundation used by millions of users and trusted partners.</p> <h1><strong>Key Responsibilities</strong></h1> <ul> <li>Own the data model strategy and long-term architecture across the Person API, Trust Service, and Inspection Catalog, keeping all three as the authoritative source of truth for identity, evidence, and confidence.</li> <li>Own the API contracts across the domain, including versioning, compatibility, and governance standards that internal and external consumers depend on.</li> <li>Set technical direction and design standards for the domain.</li> <li>Mentor staff and senior engineers, raising the bar for data modeling, API design, and trust architecture across the organization — and filling the domain leadership gap with intentional, lasting technical ownership.</li> <li>Lead the modernization and consolidation of legacy identity data into a scalable, modular set of services and contracts.</li> <li>Ensure the security, privacy, and compliance of Person, Trust, and Inspection Catalog data.</li> </ul> <p> </p> <h1><strong>Required Qualifications</strong></h1> <ul> <li>10+ years of software engineering experience, including significant time as a recognized technical authority for a complex domain spanning multiple systems.</li> <li>Deep expertise in data modeling and graph data structures, including designing schemas and relationships that remain correct, performant, and auditable at scale.</li> <li>Proven track record designing and owning APIs and data contracts for source-of-truth systems used by internal and external consumers.</li> <li>Demonstrated ability to set technical strategy and drive alignment across engineering teams without direct authority.</li> <li>Bachelor’s degree in Computer Science or equivalent experience.</li> </ul> <p> </p> <h1><strong>Preferred Qualifications</strong></h1> <p><strong>Especially important for this role:</strong></p> <ul> <li>Hands-on experience with graph databases and the modeling tradeoffs between graph and relational representations of connected identity data — this is central to how we represent Person-to-SSN, Person-to-Face, and Person-to-Legal relationships.</li> <li>Experience modeling evidence and confidence scoring into a coherent, queryable record — specifically connecting inspection evidence from the Inspection Catalog to trust decisions in the Trust Service.</li> </ul> <p><strong>Also valuable:</strong></p> <ul> <li>Experience building or owning systems that model, store, and maintain person or entity attributes and relationships at scale.</li> <li>Expertise in NIST 800-63 IAL2/AAL2 standards, including evidence requirements, verification methods, and identity li