Staff Engineer, Biometrics and Credentials

ID.me, Inc.

Mountain View (CA)

On-site

USD 210,000 - 270,000

Full time

33 hours ago
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Job summary

ID.me, Inc. is seeking a Staff Software Development Engineer to join the Biometrics and Credential team in Mountain View, CA.

You will architect and implement services underpinning the identity trust layer, work across identity, verification, and platform teams, and help shape the roadmap with innovative, high-performance graph solutions. You will design, implement, and scale RESTful/GraphQL APIs, build robust data models, ensure security and privacy, and mentor engineers while delivering

Qualifications

  • Bachelor's or Master's degree in CS, Engineering, or related field (or equivalent experience).
  • 8+ years of professional backend services and APIs experience.

Responsibilities

  • Design and implement core services and APIs powering Identity Trust Graph.
  • Build RESTful and GraphQL endpoints with reliable latency and security.
  • Develop data models and storage patterns for credential provenance and relationships (relational/graph DBs).
  • Implement graph lifecycle flows (ingestion, validation, enrichment).
  • Ensure security and privacy with strong auth, authorization, encryption, and auditing.
  • Ship features with maintainable code, tests, and observability instrumentation.
  • Collaborate with product managers and stakeholders to solve problems and deliver value.
  • Mentor junior developers through code reviews and knowledge sharing.
  • Contribute to system design discussions, reviews, and docs.
  • Optimize performance, scalability, and reliability in production.

Skills

Backend development
REST/GraphQL
Neo4j
Cloud & containers
Testing & observability

Education

Bachelor's/Master's degree

Tools

Neo4j
Docker
Kubernetes
AWS/GCP/Azure

Job description

Staff Engineer, Biometrics and Credentials

Mountain View, California, United States

Company Overview

IDMe is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with IDMe once and seamlessly login across websites without having to create a new login and verify their identity again. Over 175 million users experience streamlined login and identity verification with IDMe at 22 federal agencies, 50 state government agencies, and more than 100 healthcare organizations. Over 600 consumer brands use IDMe to verify communities and user segments to honor service and build more authentic relationships. IDMe’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. IDMe is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/ .

IDMe 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.

At IDMe, 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 here .

About the Role

ID.me is seeking a Staff Software Development Engineer to join the Biometrics and Credential team. This team is building the identity graph that represents mappings between entities, attributes, and credentials. Analysis of entity-attribute relationships will lead to an improved understanding of customers, reduce friction in identity workflows, and enable key use cases like fraud detection and prevention, duplicate detection and resolution, and more.

As a key individual contributor, you'll architect and implement the services that underpin ID.me's next-generation identity trust layer. You'll work across identity, verification, and platform teams to deliver a secure, scalable, and high-performance graph platform used by millions of users and trusted partners. You will have a significant opportunity to shape the roadmap and direction of this initiative through your innovative ideas and technical expertise.

This position is based full-time in our Mountain View, CA office, with on-site presence required 5 days per week.

What You'll Do
  • Design and implement core services and APIs that power the Identity Trust Graph — representing mappings between entities, attributes, and credentials.
  • Build RESTful and GraphQL endpoints that meet strict standards for reliability, latency, and security, and integrate seamlessly with both internal and external systems.
  • Develop robust data models and storage patterns to represent credential provenance and entity-attribute relationships across relational and graph databases (including Neo4j).
  • Implement graph lifecycle flows — including ingestion, validation, and enrichment — integrated with ID.me's identity verification and attribute validation systems.
  • Ensure the security and privacy of identity data through strong authentication, authorization, encryption, and audit practices.
  • Consistently ship features and improvements, collaborating with the team on larger projects. Effectively switch gears between maintaining legacy code and writing modern services.
  • Collaborate with team members, product managers, and stakeholders to solve the right problems and build the best solutions for customer needs.
  • Act as a mentor to junior developers through code reviews, document critiques, and cross-team knowledge sharing forums.
  • Write high-quality, maintainable, and well-tested code, including automated tests and observability instrumentation.
  • Contribute to system design discussions, code reviews, and technical documentation to drive clarity and alignment across teams.
  • Continuously optimize performance, scalability, and reliability of graph services in production environments.
  • Stay current on emerging identity and credentialing standards (e.g., Verifiable Credentials, Decentralized Identifiers, OIDC extensions) and bring new ideas into the product.
What We're Looking For
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • 8+ years of professional experience developing backend services and APIs in production environments.
  • 8+ years of experience in at least one backend language (Python, Go, Java, Ruby, TypeScript, or Rust) and with modern frameworks.
  • Understanding of Neo4j/graph databases and experience contributing to data ingestion and data pipelines.
  • Experience building systems and services in a containerized, cloud-based, infrastructure-as-code driven ecosystem.
  • Proven track record of owning and shipping features end to end, including thorough automated test coverage, observability, monitoring, and documentation.
Nice to Have
  • Demonstrated expertise in building and operating public-facing REST or GraphQL APIs at scale.
  • Deep experience with relational databases (e.g., PostgreSQL) and NoSQL or graph data stores.
  • Solid understanding of distributed systems concepts, caching, asynchronous processing, and cloud-native patterns.
  • Experience implementing authentication and authorization (OAuth2, OIDC, JWT, or custom schemes).
  • Experience with cloud infrastructure (AWS, GCP, or Azure), including containerization (Docker, Kubernetes, or Nomad) and deployment pipelines.
  • Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Cursor) to accelerate delivery and code quality.
  • Exposure to A/B testing strategies and ability to interpret results.
  • Knowledge of event-driven architectures (Kafka, SNS/SQS) and patterns for decoupled service communication.
  • Exposure to digital credential and identity standards (e.g., Verifiable Credentials, Decentralized Identifiers, W3C DID specs).
  • Familiarity with identity and credential verification systems, including data validation
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