ID.me

ID.me

Staff Software Engineer - Applications, Full Stack

McLean, Virginia · Staff+ · Full-time

Sponsorship not specified$63k-$800kDetected 8 days ago
GoRubyReactRailsFull-Stack DevelopmentLLMsAI OrchestrationA/B TestingComplianceDesign SystemsLeadershipCollaborationMentoring

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$102,0861 entry
Level II$127,4622 entries
Level III$152,8383 entries
Level IV$178,2144 entries

The bottom of this range ($63,000) is below the Level I prevailing wage of $102,086. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $127,462 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Washington-Arlington-Alexandria, DC-VA-MD-WV. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • In this role, you won't just be maintaining legacy systems
  • you will champion an AI-native engineering culture.
  • In this role, you won't just be maintaining legacy systems; you will champion an AI-native engineering culture.

Responsibilities

  • Shared Infrastructure: Develop shared UI components and API patterns that support scalable, multi-product verification workflows and AI-driven automation.
  • Instrumentation: Lead experimentation efforts, including A/B testing AI agent performance versus manual flows and detecting fraud through UX signals.
  • AI Orchestration & Agent Design:
  • Design and deploy autonomous agents that automate manual call center workflows.
  • Develop shared UI components and API patterns that support scalable, multi-product verification workflows and AI-driven automation.
  • ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect.
  • 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 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships.

Requirements

  • Bachelor's degree in Computer Science or a related field.
  • 10+ years of experience in full-stack engineering, with a proven track record of scaling customer-facing applications.
  • 1+ years of hands-on experience with LLM integration (Claude/OpenAI) and building agentic workflows.
  • Familiarity with MCP (Model Context Protocol) or similar architectural patterns for connecting LLMs to data.
  • 5+ years of experience in Ruby on Rails, GoLang, and React/TypeScript.

Nice to have

  • Architecture: Strong understanding of component-driven design, state management, and building secure backends with PostgreSQL.
  • Leadership: Proven ability to influence cross-functional stakeholders and set technical direction in fast-paced environments.
  • Identity & Security: Deep understanding of identity verification, regulatory frameworks (NIST, IAL2), or IAM digital security.
  • Data Transformation: Experience with data pipeline tools for feature flags, transformation, and secure transmission.
  • Working together in an office setting cultivates our vibrant culture, enabling professional advancement, mentorship, collaboration, innovative strides, and authentic connections.
  • All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity.
  • Upon request we will provide you with more information about such accommodations.
  • ID.me participates in E-Verify.

Compensation

  • $174,000 - $229,000 USD
  • ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline.

Benefits

  • Over 175 million users experience streamlined login and identity verification with ID.me at 22 federal agencies, 50 state government agencies, and more than 100 healthcare organizations.
  • AI Orchestration & Agent Design: Lead the technical vision for integrating LLMs (specifically Claude) into our internal member support applications.
  • Product Evolution: Lead the technical vision for member support-facing verification UI flows, ensuring AI-assisted tools are seamlessly integrated into the agent and member experience.

Company info

  • 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.

Equal opportunity

  • In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

This listing is sourced directly from ID.me's careers page and normalized into a canonical job model.