Senior Full-Stack Software Engineer

Senior Full-Stack Software Engineer

Mountain View, CA




We're building an AI-powered platform that enables creation of real, data-connected applications by describing in plain language. The platform will combine a multi-step AI building agent, React-based authoring experiences, distributed backend services, isolated Kubernetes workspaces, and highly available AWS infrastructure.

We're looking for a senior or staff level full-stack engineer who can contribute across this stack. You'll help improve agent quality and performance, build production services and user experiences, strengthen testing and observability, and make the platform more reliable at scale.

This is a hands-on, 6-12-month contingent assignment in a fast-moving environment.

What You'll Do
Build and operate features using TypeScript, Python, Go, and Java languages.
Improve AI agent workflows built with LangGraph, LangChain, and related frameworks.
Create automated evaluations and tests for multi-step, branching AI experiences.
Run load and performance tests across the agent, services, and runtime platform.
Develop and operate Kubernetes controllers, custom resources, Helm charts, and GitOps-based deployments.
Improve monitoring, structured logging, dashboards, alerting, failure recovery, and FMEA coverage.
Support AWS infrastructure running on EKS, including networking, storage, deployment automation, and multi-region reliability.
Troubleshoot issues end to end, from the browser and streaming layer through the agent, services, APIs, and infrastructure.

Qualifications
8+ years of professional software engineering experience, with ownership of complex production systems.
Strong full-stack experience, including production React applications and distributed backend services.
Experience working across TypeScript, Python, Go, and Java languages and codebases.
Experience with using AI coding agents (Claude, Cursor) to develop code.
Experience with AI Eval platforms and tools is a plus.
Strong AWS experience with EKS, EC2, S3, VPC networking, and infrastructure as code using CDK or CloudFormation.
Applied AI engineering - hands-on experience building or evaluating LLM-powered or agentic applications using Claude Agent SDK, LangGraph, LangChain, or comparable frameworks.
Experience with websockets, streaming systems, and real-time user experiences.
Production Kubernetes experience, ideally including CRDs, custom controllers or operators, Helm, and GitOps.
Strong production observability and operational ownership, including logs, metrics, alarms, incident response, and reliability improvements.
Experience building active-active or active-passive architectures is a plus
Ability to learn new systems quickly and work effectively through ambiguity.
Strong written and verbal communication skills.
Bachelor's degree or higher in Computer Science or equivalent practical experience.