Software Engineer – Developer Experience & AI Platform
About The Position
ID.me is seeking a Software Engineer (SDE3) to join its Core Platform Engineering organization on the Developer Experience and AI Platform team. The role focuses on automating operational friction and cognitive load across engineering by building tools, systems, and platforms that help engineers build and ship software quickly and safely. The team supports ID.me’s evolution as an API-first platform company and uses modern AI and Agentic AI tools and systems. The engineer will design and evolve programming-language-specific paved paths that standardize service creation, CI/CD, observability, and security. The role also involves building and integrating autonomous AI agents and agentic workflows—including MCP integrations, RAG-powered developer context, and automated remediation pipelines—to automate service ownership, upgrades, and maintenance across the codebase. The position is based at the McLean, Virginia office and requires full-time, in-office attendance.
Requirements
- 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.
- Demonstrated experience 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.
- Passion for automation, self-service system design, and reducing cognitive load for engineers.
Nice To Haves
- Experience 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 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; Docker; Kubernetes; and Internal Developer Portals such as Backstage.
- Experience with GCP or AWS and Infrastructure as Code tools such as Terraform.
- Understanding of production observability (metrics, logs, and traces) and embedding security or compliance guardrails, such as FedRAMP, SOC 2, or NIST, into developer pipelines.
- Systems-level thinking and strong written and verbal communication skills, with the ability to champion standards through enablement and intuitive tooling rather than manual mandates.
- Demonstrated ownership of a significant platform tool, automation pipeline, or AI-enabled workflow from design through organization-wide adoption.
Responsibilities
- Design, build, and maintain internal developer tools, CLI utilities, Internal Developer Portal workflows, and reusable GitHub Actions, embedding guardrails for breaking changes, security gaps, and compliance regressions.
- Create and maintain language-specific golden paths, including project scaffolding, SDKs, shared libraries, container base images, and standardized CI/CD templates with production-readiness, observability, and security practices built in.
- Build and operate AI-native developer platform capabilities, including MCP servers and registries, context-engineering and RAG pipelines, and AI coding assistant integrations.
- Design and deploy autonomous and human-in-the-loop AI agents to automate engineering ownership and maintenance tasks such as dependency and framework upgrades, vulnerability remediation, configuration migrations, test generation, and standards enforcement.
- Partner with product, infrastructure, SRE, and security teams to identify software-development bottlenecks and replace manual processes or ticket queues with self-service automation.
- Lead medium-to-large platform initiatives from technical design through rollout, adoption, and operational support; measure impact using DORA metrics and developer satisfaction.
- Promote AI-augmented engineering workflows, write documentation, and mentor engineers through code reviews, pairing, and enablement workshops.
Benefits
- Comprehensive medical, dental, and vision insurance.
- Health savings account and flexible spending accounts, including medical, limited-purpose, dependent-care, and commuter benefit accounts.
- Basic and voluntary life and AD&D insurance.
- 401(k) with company match.
- Parental leave.
- Unlimited paid time off subject to the PTO policy, including eight company-wide holidays.
- Short- and long-term disability insurance.
- Accident and critical illness insurance.
- Referral bonus policy.
- Employee assistance program.
- Pet insurance.
- Travel assistant program.
- Wellbeing and childcare discounts.
- Benefit advocates.
- Learning and development benefit.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
