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ID.me

Runs a digital ID wallet for online sign-ins

Software Engineer 3 - Developer Experience & AI Platform

Platform EngineeringUpdated on Nov 7
Full-timeMcLean, VA, USA

About the Job

Requirements

  • A Bachelor's or Graduate degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
  • At least 3 years of professional software development experience building backend services, developer tooling, or platform automation.
  • Strong proficiency in at least one modern programming language, such as Go, Python, Ruby, TypeScript/JavaScript, or Java, and ability to work across multiple language ecosystems to build language-specific tooling and paved paths.
  • Demonstrated track record of using and building with modern AI and Agentic AI tools, such as Claude Code, Cursor, LLM APIs, MCP servers, or agentic frameworks, to accelerate software delivery and automate engineering workflows.
  • Deep passion for automation, self-service system design, and reducing cognitive load for other engineers.

Responsibilities

  • Design, build, and maintain internal developer tools, CLI utilities, Internal Developer Portal workflows, and reusable GitHub Actions that make building and deploying services fast and intuitive, while embedding automated guardrails against breaking changes, security gaps, and compliance regressions.
  • Create and maintain opinionated, programming-language-specific golden paths, including project scaffolding, SDKs, shared libraries, container base images, and standardized CI/CD templates that provide production readiness, observability, and security best practices by default.
  • Build and operate AI-native developer platform capabilities, including Model Context Protocol servers and registries, context-engineering and RAG pipelines, and AI coding assistant integrations to optimize developer cognitive load and AI context windows.
  • Design and deploy autonomous and human-in-the-loop AI agents to automate recurring engineering ownership and maintenance work, including dependency and framework upgrades, vulnerability remediation, configuration migrations, automated test generation, and standards enforcement.
  • Partner with product, infrastructure, SRE, and security teams to identify high-friction software-development lifecycle bottlenecks and replace manual processes or ticket queues with self-service automation.
  • Drive medium-to-large Developer Experience and AI Platform initiatives from technical design through rollout, adoption, and operational support, measuring impact with DORA metrics and developer satisfaction.
  • Promote modern AI-augmented engineering workflows, write documentation, and mentor engineers through code reviews, pairing, and enablement workshops.

Desired Qualifications

  • Experience working on a Developer Experience, Internal Developer Platform, AI Enablement, or Platform Engineering team.
  • Hands-on experience designing or building autonomous AI agents, custom MCP tools or servers, RAG systems, or LLM-powered CI/CD and code-maintenance workflows.
  • Experience building programming-language-specific scaffolding, SDKs, linters, codemods, or standardized build and deployment templates across multiple languages.
  • Familiarity with modern CI/CD platforms, especially reusable GitHub Actions workflows, containerization with Docker and Kubernetes, and Internal Developer Portals such as Backstage.
  • Experience with cloud platforms such as GCP or AWS and Infrastructure as Code such as Terraform.
  • Understanding of production observability, including metrics, logs, and traces, and embedding security and compliance guardrails such as FedRAMP, SOC 2, and NIST into developer pipelines.
  • Systems-level thinking and strong written and verbal communication skills to champion standards through enablement and intuitive tooling rather than manual mandates.
  • Demonstrated ownership of at least one significant platform tool, automation pipeline, or AI-enabled workflow from design through organization-wide adoption.

About the Company

ID.me

Runs a digital ID wallet for online sign-ins

ID.me runs a digital identity wallet that lets people prove who they are online once, then sign in to government agencies, health systems, and online stores without repeating the check. In 2018, it became the first identity provider certified to the federal standard for proving a person's identity online, and in 2021 the IRS adopted it for taxpayers' online accounts. Users photograph a government ID and take a selfie, or confirm who they are with an ID.me agent on a video call, and the result is saved for reuse on other sites. Organizations that accept ID.me pay for each check or through subscriptions, and people use it for free. ID.me was founded in 2010 to verify military members for online discounts and is based in McLean, Virginia.

Company size
1,001-5,000
Company stage
Series E
Total funding
$727.3M
Headquarters
McLean, VA
Founded
2010

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