Senior System Test Engineer

🔥 13 hours ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $180k - $250k / year

⏰ Full Time

🟠 Senior

⚙️ Software Development Engineer in Test (SDET)

👻 Ghost score 16%

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LanceDB

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

LanceDB is the first open-source AI-Native Multimodal Lakehouse designed to handle complex AI data needs on a large scale. It offers a unified solution for multimodal data, integrating storage, search, feature engineering, and analytics into a single platform. This enables users to efficiently manage diverse data types and workflows, facilitating rapid iteration and deployment of AI models. With advanced capabilities such as hybrid search and optimized training pipelines, LanceDB is built for enterprises seeking to leverage their data effectively in AI applications.

📋 Description

• Define and drive system-level testing across correctness, reliability, scalability, and performance • Prioritize the highest-risk behaviors in the platform • Build automated test frameworks and realistic workloads for ingestion, concurrent reads and writes, indexing, querying, and dataset maintenance • Validate data integrity and consistency guarantees under concurrency, retries, partial failures, and recovery • Develop fault-injection and resilience tests for process crashes, network disruptions, storage errors, resource exhaustion, and interrupted operations • Design load, stress, and long-running soak tests • Identify regressions in latency, throughput, resource usage, and search quality • Test upgrades, compatibility, and recovery scenarios • Investigate failures using logs, metrics, traces, and source code • Reduce complex issues to minimal reproductions and drive fixes and regression coverage • Develop and improve reproducible test environments • Integrate reliable, actionable checks into CI and release workflows • Use AI coding assistants and other AI tools to develop test harnesses, explore failure scenarios, analyze results, and accelerate debugging • Independently verify generated code and conclusions • Partner closely with engineering to translate architectural risks and customer workloads into automated, reproducible tests

🎯 Requirements

• 10+ years of experience in software engineering, system test engineering, or test infrastructure • Substantial experience building or validating distributed databases or large-scale data systems • Deep understanding of distributed databases, including consistency models, replication, partitioning, concurrency control, durability, and failure recovery • Proven track record designing tests that verify system invariants and uncover data corruption, race conditions, and failures under load or partial outages • Strong programming skills in Python and at least one systems language such as Rust, C++, Java, or Go • Ability to build maintainable test infrastructure and debug product code • Hands-on experience with fault injection, performance testing, workload generation, and automated testing in distributed environments • Demonstrated ability to use AI tooling adeptly in daily engineering work, including coding assistants and agent-based workflows • Sound judgment about validating AI-generated outputs • Experience with Linux, cloud infrastructure, containers, CI/CD, and observability tools • Ability to own ambiguous projects, prioritize risk, communicate findings clearly, and collaborate closely with engineers • Experience testing database storage engines, query engines, vector search, or cloud object storage integrations is nice to have • Familiarity with LanceDB, Lance, Apache Arrow, DataFusion, Parquet, or related data infrastructure is nice to have • Experience with property-based testing, fuzzing, differential testing, or distributed consistency testing is nice to have • Experience with Kubernetes, infrastructure as code, and large-scale test environment orchestration is nice to have • Contributions to open-source databases, distributed systems, or testing frameworks are nice to have • Legally authorized to work in the United States for any employer • Located in the United States or Canada

🏖️ Benefits

• Equity grants • Medical, dental, vision, and life insurance • 401(k) retirement plan • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) • Commuter benefits • Generous paid time off • Paid parental leave program for birthing, non-birthing, adoptive, and foster parents