Database Infra Engineer (AI)

Location: San Francisco, CA, United States; on-site

Salary: $180,000–$230,000 USD per year

Company

LangChain builds open-source frameworks and a platform for building, evaluating, deploying, and operating AI agents at scale, including LangSmith and SmithDB.

What you will do

• Own SmithDB deployment and operations across cloud environments, including cluster lifecycle management, upgrades, and automated failover.
• Build infrastructure tooling with Terraform, Kubernetes, Helm, or equivalent technologies to provision, configure, and scale database nodes.
• Operate Kubernetes infrastructure for multi-tenant, high-throughput, low-latency distributed database services.
• Develop deployment pipelines, rollout strategies, infrastructure as code, and CI/CD promotion from development through production.
• Drive reliability engineering, including incident response, postmortems, SLOs, disaster recovery, capacity planning, and cost efficiency.
• Collaborate with SmithDB engineers to translate database engine features into production-ready infrastructure changes and safe rollouts.

Requirements

• 5+ years of experience in infrastructure, platform engineering, or SRE.
• Hands-on experience with Kubernetes and AWS, GCP, or Azure cloud infrastructure.
• Strong scripting or systems programming ability with Go, Python, or a similar language.
• Experience with infrastructure as code and CI/CD tooling such as Terraform, Pulumi, CDK, Helm, or ArgoCD.
• Experience running stateful workloads in production, including persistent volumes, managed node groups, and cloud storage.
• Experience with on-call operations for high-traffic data systems, incident triage, runbooks, and automation.

Nice to have

• Production database ownership experience with Postgres, ClickHouse, Redis, or similar systems.
• Ability to read and reason about Rust.
• Knowledge of replication, backups, point-in-time recovery, connection pooling, and graceful degradation under load.

Culture & Benefits

• Work in a small, fast-moving, high-autonomy systems engineering team.
• Build a greenfield database system handling production AI observability data at massive scale.
• Medical, dental, and vision coverage.
• Flexible vacation, a 401(k) plan, and meals on in-office days in the US.
• Compensation includes base salary, variable compensation where relevant, equity, benefits, and perks.