Design and implement high throughput data-intensive ingestion systems supporting our flagship SaaS products (LangSmith and LangGraph Platform)
Build monitoring, alerting, and automated recovery systems that maintain high uptime
Design and build developer-friendly SDKs for the LangSmith platform in Python, TypeScript, Go and Java
Debug performance bottlenecks, optimize database queries, and architect solutions for distributed system challenges
Influence technical decisions around infrastructure, tooling, and operational practices as we grow from startup to enterprise scale
Participate in on-call rotation with focus on post-incident learning, automation and prevention

Requirements

5+ years building and operating production systems at scale
Strong hands-on software engineering skills (Python, Go, Rust)
Production experience with OSS datastores (PostgreSQL, Redis)
Deep knowledge of Cloud Object Storage, Kubernetes, containerized infrastructure, cloud platforms (e.g. GCP)
Hands-on experience with observability stacks (Datadog, Prometheus/Grafana, OpenTelemetry or similar)
"You build it, you run it, you own it" philosophy with the focus on sustainable practices

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonTypeScriptGoJavaRustPostgreSQLRedisKubernetesCloud Object Storageobservability stacks

Soft Skills

influence technical decisionspost-incident learningautomationpreventionsustainable practices