Senior System Test Engineer: AI Data Platform Reliability

LanceDB Inc.; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

LanceDB Inc. is seeking a Senior System Test Engineer to drive correctness, reliability, and performance of Lance and LanceDB under production conditions.

You will own system-level test strategy, build workload suites, and diagnose complex failures across distributed databases. You will partner with engineering to translate architectural risks into automated tests, leverage AI tooling to accelerate debugging, and shape the reliability bar for AI workloads at scale.

Qualifications

• 10+ years of experience in software engineering, system test engineering, or test infrastructure.
• Experience with distributed databases or large-scale data systems.
• Strong programming in Python and at least one systems language (Rust, C++, Java, or Go).

Responsibilities

• Define and drive system-level testing across correctness, reliability, scalability, and performance.
• Build automated test frameworks and workloads for ingestion, concurrent reads/writes, indexing, and dataset maintenance.
• Validate data integrity and consistency under concurrency, retries, and failures; develop fault-injection tests.
• Design load, stress, and soak tests; identify regressions in latency, throughput, and resource usage.
• Test upgrades and compatibility to ensure predictable behavior as software evolves.
• Collaborate with engineers to investigate failures using logs, metrics, and traces; reproduce and fix issues.
• Develop reproducible test environments; integrate checks into CI and release workflows.
• Use AI tooling to develop test harnesses and accelerate debugging; verify generated code/conclusions.

Skills

Python

Systems languages

Distributed systems

AI tooling

Tools

Linux

Containers

CI/CD

Observability tools

Job description

LanceDB Inc. is seeking a Senior System Test Engineer to drive correctness, reliability, and performance of Lance and LanceDB under production conditions.

You will own system-level test strategy, build workload suites, and diagnose complex failures across distributed databases. You will partner with engineering to translate architectural risks into automated tests, leverage AI tooling to accelerate debugging, and shape the reliability bar for AI workloads at scale.