Staff Software Engineer – AI Enablement
$217,565–$260,000 year
On-siteMountain View Santa Clara County, California, United States
Job Summary
Architect AI-Augmented Developer Tools by leading hands-on building of internal platforms, service scaffolding, and automated CI/CD tooling. Design Agentic Systems & LLM Orchestration using frameworks like LangGraph, and Develop Workflow Abstractions through Domain-Specific Languages and Finite State Machine models. Manage Stateful Context with Near Real-Time Memory and Build Resilient Distributed Systems leveraging Redis, Kafka, and custom Dead Letter Queues. Establish AI Guardrails & Governance to enforce safety standards and Observability & Health Monitoring via sidecar patterns and Datadog dashboards. Provide Technical Leadership & Mentorship to mid-level and senior engineers while Measure & Optimize DevEx metrics to drive productivity. This full-time, in-office role requires Mountain View, CA or McLean, VA attendance and focuses exclusively on internal engineering workflows.
Required Qualifications
- Bachelor's or Graduate degree in Computer Science, Software Engineering, or a related technical field
- 8+ years of professional software engineering experience developing backend systems, distributed architectures, or core platform tools
- 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
- Strong hands-on coding skills in modern programming languages such as Java, Python, or Go
- Deep experience in microservices architecture, RESTful web services, and event-driven architectures
- This role is onsite 5 days a week in Mountain View, California
- This role is based out of our Mountain View, CA or McLean, VA office and requires full-time in-office attendance
- Remote and hybrid candidates will not be considered
- Relocation assistance and visa sponsorship are not offered for this role
Desired Qualifications
- AI Agents & LLM Orchestration: Hands-on experience building agentic workflows, multi-agent systems, and LLM integrations using LangGraph, AWS Bedrock, OpenAI API, and Anthropic API
- Infrastructure as Code (Terraform): Extensive, practical experience specifically using Terraform for cloud provisioning, state management, and scalable infrastructure deployment
- Domain Abstractions: Experience developing Domain-Specific Languages (DSL), Finite State Machines (FSM), and dynamic agent routing algorithms
- 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
- Collaboration & Influence: Proven ability to mentor engineers, influence architectural choices, and partner across cross-functional product and security teams
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