ID.me
Staff Software Engineer – AI Enablement
Mountain View, California, United States · Staff+ · Full-time
Stay score
odds of building a lasting career here
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
The bottom of this range ($63,000) is below the Level I prevailing wage of $94,370. 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 $123,843 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) · Bakersfield-Delano, CA. 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
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.
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About the role
- Please note: This role is focused entirely on internal developer experience.
- This role is onsite 5 days a week in Mountain View, California.
- This position sits at the intersection of platform engineering, developer experience, and artificial intelligence.
Responsibilities
- Architect AI-Augmented Developer Tools: Lead the hands-on building of internal developer platforms, service scaffolding, and automated CI/CD tooling that accelerate software delivery.
- This work explicitly targets internal engineering workflows, rather than customer-facing bots or member-support automation.
- Design Agentic Systems & LLM Orchestration: Build multi-agent automation systems and adaptive conversational flows using frameworks such as LangGraph and foundation model APIs.
- Develop Workflow Abstractions: Create Domain-Specific Languages (DSLs) and Finite State Machine (FSM) abstractions to model, control, and route complex multi-agent platform tasks.
- Manage Stateful Context: Implement Near Real-Time Memory (NRTM) and shared session management to maintain persistent state and context across developer tools, bots, and internal APIs.
- Build Resilient Distributed Systems: Implement high-availability orchestration patterns using Redis for state management, Kafka for event streaming, and custom Dead Letter Queue (DLQ) bridges for message reliability.
- Technical Leadership & Mentorship: Coach mid-level and senior engineers, lead architectural design reviews, and establish engineering standards for AI agents and platform systems.
- Measure & Optimize DevEx: Define and monitor key DevEx metrics (e.g., onboarding time, deployment success rates, task automation velocity) to continuously drive developer productivity.
- Lead the hands-on building of internal developer platforms, service scaffolding, and automated CI/CD tooling that accelerate software delivery.
- Design Agentic Systems & LLM Orchestration:
Requirements
- Bachelor's or Graduate degree in Computer Science, Software Engineering, or a related technical field.
- 2+ years of experience operating explicitly at a Staff or Principal engineering scope.
- Demonstrated technical leadership: Must have formal experience mentoring 2+ engineers, leading architecture review processes, or acting as the primary technical lead for a multi-engineer project team.
- Deep experience in microservices architecture, RESTful web services, and event-driven architectures.
Nice to have
- Infrastructure as Code (Terraform): Extensive, practical experience specifically using Terraform for cloud provisioning, state management, and scalable infrastructure deployment.
- Data & State Infrastructure: Strong experience with Redis, Kafka, PostgreSQL, NoSQL databases, and streaming platforms.
- Platform Infrastructure: Practical experience with containerization (Docker, Kubernetes) and cloud deployment on AWS.
- System Resilience: Experience implementing reliability patterns such as Dead Letter Queues (DLQs), sidecar monitoring, automated secret management, and self-healing mechanisms.
- 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.
- AI Agents & LLM Orchestration:
Compensation
- The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role.
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.
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.
Visa & Work Authorization
- Relocation assistance and visa sponsorship are not offered for this role.
This listing is sourced directly from ID.me's careers page and normalized into a canonical job model.