Infrastructure Engineer, Database

LangChain

5d•$180,000 - $230,000

About The Position

LangChain is building a database specifically designed for AI observability and evaluation, and they need someone to own the infrastructure layer that keeps it running reliably at scale. As a Database Infra Engineer on the SmithDB team, you won't be designing the storage engine — you'll be making sure the engine never goes down, scales seamlessly as our customer base grows, and is operationally excellent across cloud environments.

Requirements

5+ years of experience in infrastructure, platform engineering, or SRE with hands-on experience
Strong hands-on experience with Kubernetes and cloud infrastructure (AWS/GCP/Azure)
Solid scripting/systems programming ability (Go, Python, or similar)
Experience with infrastructure-as-code and CI/CD tooling (Terraform, Helm, ArgoCD, or similar)
Deep familiarity with at least one major cloud provider (AWS, GCP, or Azure) and the primitives used to run stateful workloads reliably — persistent volumes, managed node groups, cloud storage, etc.
Infrastructure-as-code fluency — you write Terraform (or Pulumi/CDK) as your primary language, not an afterthought
Strong operational instincts — you've been on-call for high-traffic data systems, you know how to triage under pressure, and you write runbooks that actually get used
Experience with container orchestration (Kubernetes) and deploying stateful workloads in production
A bias for automation — if you've done something manual twice, you're already thinking about how to make it never happen again
Strong written and oral communication skills, with the ability to translate infrastructure health into language product and business stakeholders understand
The DNA to thrive in a fast-moving, high-autonomy environment — you see gaps as opportunities and own them end to end

Nice To Haves

Ownership of production database systems (Postgres, ClickHouse, Redis, or similar)
Comfort reading and reasoning about Rust is a plus, as it's the language our database is written in
Understanding of database reliability concepts — replication, backups, point-in-time recovery, connection pooling, and graceful degradation under load

Responsibilities

Own the deployment and operations of SmithDB across cloud environments — including cluster lifecycle management, blue/green and rolling upgrades, and automated failover
Build and maintain the infrastructure tooling (Terraform, Kubernetes, Helm, or equivalent) that provisions, configures, and scales SmithDB nodes
Own the Kubernetes infrastructure that runs our distributed database services (multi-tenant, high throughput, low latency)
Build and improve deployment pipelines, rollout strategies, and infrastructure-as-code for the storage layer
Drive reliability engineering efforts: incident response, postmortems, SLOs, and disaster recovery for a system operating at massive scale
Manage capacity planning and cost efficiency — model growth, rightsize resources, and ensure SmithDB can absorb traffic spikes from our largest customers without manual intervention
Build the CI/CD pipeline for database infrastructure changes — safe, tested, and fast promotion from dev through staging to production
Collaborate closely with SmithDB internals engineers to translate new engine features into production-ready infrastructure changes and ensure safe, low-risk rollouts