CronJobs

backend jobs

Staff Software Engineer – AI Enablement

ID.me · Mountain View, California, United States

onsitestaff$217,565–$217,565Posted Aug 18, 2026PythonJavaGoLangGraphKafkaRedisTerraformAWS

Apply on the employer site

About this role

## Staff Software Engineer — AI Enablement (Developer Experience & AI Platform) **ID.me** is the next-generation digital identity wallet that helps people securely prove their identity online and reuse it across websites—without having to re-verify. ### Role Overview ID.me is seeking a **Staff Software Engineer (SDE V — Developer Experience & AI Platform)** to lead the technical design, architecture, and execution of an **internal developer platform** and **AI-driven automation infrastructure**. You’ll build internal developer tools, **multi-agent workflows**, and **LLM orchestration** systems focused on **engineering workflows** (e.g., service scaffolding, CI/CD automation, and developer-facing tooling). This role is **not** focused on customer-facing conversational bots or member-support automation. **Location:** On-site **5 days/week** in **Mountain View, CA** (remote/hybrid not considered). ### Responsibilities - **Architect AI-augmented developer tools**: internal platforms, service scaffolding, and automated CI/CD tooling - **Design agentic systems & LLM orchestration** (e.g., LangGraph, foundation model APIs) - **Develop workflow abstractions** using **DSLs** and **FSMs** to model and route multi-agent tasks - **Manage stateful context** with near real-time memory (NRTM) and shared session management - **Build resilient distributed systems** using **Redis**, **Kafka**, and custom **DLQ** bridges - **Establish AI guardrails & governance**: reduce hallucinations, enforce strict logging/safety so sensitive data isn’t exposed - **Observability & health monitoring**: microservices telemetry and automated health checks feeding internal Datadog dashboards - **Technical leadership & mentorship**: coach engineers, lead architecture reviews, set standards - **Measure & optimize DevEx**: onboarding time, deployment success rates, and automation velocity ### Minimum Qualifications - Bachelor’s or Graduate degree in CS/Software Engineering or related field - **8+ years** backend/distributed/core platform engineering experience - **2+ years** operating at **Staff/Principal** scope - Demonstrated technical leadership (mentoring **2+ engineers**, leading architecture reviews, or serving as primary tech lead) - Strong hands-on coding in **Java, Python, or Go** - Deep experience with **microservices**, **REST**, and **event-driven architectures** ### Preferred Qualifications - Hands-on **AI agents / LLM orchestration** (LangGraph, AWS Bedrock, OpenAI, Anthropic) - **Terraform** experience - Experience building **DSLs**, **FSMs**, and dynamic agent routing - Data/state infrastructure: **Redis, Kafka, PostgreSQL**, NoSQL, streaming platforms - Platform infrastructure: **Docker/Kubernetes** and **AWS** - Reliability patterns: **DLQs**, sidecar monitoring, automated secret management, self-healing - Cross-functional influence and collaboration with product/security teams ### Pay Range (Mountain View, CA) **$217,565 — $260,000 USD** (base salary; bonus/equity/benefits vary by experience and other factors) ### Benefits (Highlights) Comprehensive medical/dental/vision, HSA/FSA options, life/AD&D, **401(k) match**, parental leave, unlimited PTO (per policy), disability insurance, referral bonus, EAP, learning & development benefit, and more. --- *ID.me is an equal opportunity employer and provides reasonable accommodations where required by law.*

Listing freshness

CronJobs last confirmed this listing 19h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.

Browse all software engineering jobs →

Follow fresh jobs in Discord