Database developer • killeen tx
Applications close Friday, October 16, 2026 at 12:00 p.We are selecting the first three applicants who qualify for the initial pilot.About the work Build real-world tasks that test how well AI agen... Show more
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Joining AdventHealth is about being part of something bigger.It’s about belonging to a community that believes in the wholeness of each person, and serves to uplift others in body, mind and spirit.... Show more
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I opened my agency in 2000 and currently lead a small but growing team of two.Before becoming an agent with State Farm, I worked in claims management, which gave me a strong understanding of the cu... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
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The functions listed below are those that represent the majority of the time spent working in this position.Management may assign additional functions related to the type of work of the position as... Show more
The average salary range is between $ 93,462 and $ 145,347 year , with the average salary hovering around $ 112,518 year .
Applications close Friday, October 16, 2026 at 12:00 p.m. Pacific. We are selecting the first three applicants who qualify for the initial pilot. ## About the work Build real-world tasks that test how well AI agents handle database engineering. Depending on your specialty, your task may cover database-engine implementation, production diagnosis, or application migration. Each task should include a clear problem statement, a reproducible repository or environment, a working reference solution, tests, and grading criteria that distinguish a robust engineering solution from one that only appears correct. ## What you'll do - Design one challenging, self-contained database engineering task. - Build checks for correctness, failure handling, concurrency, retries, and regressions where relevant. - Evaluate performance measures such as latency, throughput, and memory use. - Write clear grading criteria for engineering judgment. - Work with technical reviewers to refine and validate the task. ## Who we're looking for - At least **five years** of hands-on database-engine internals experience, or a **database-systems PhD.** - Deep experience with storage engines, query execution, optimization, transactions, replication, or related low-latency systems. - Strong implementation skills and clear explanations of correctness and performance tradeoffs. - Experience with Go is preferred. DBA, SQL analytics, ETL, or application-only database experience does not qualify on its own. You do not need to specialize in every task area. ## Application process Complete a self-paced technical assessment with written responses and a coding exercise. You control when to advance between sections. (~35 min) Use a laptop or desktop with a camera, microphone, and entire-screen sharing. Have your own editor and terminal ready, along with Python 3.8+ and a compiler for C, C++, Rust, Go, or Java. The assessment includes a starter kit and public tests. Complete the assessment independently, without outside AI assistance. Please apply as soon as possible. We will select the first three qualifying applicants. If the pilot fills, completed assessments may be considered for future work if the project expands. ## Paid task after selection Selected experts will complete one task, with approximately 25 hours of work, followed by technical review and feedback. Task deadline: Friday, October 30, 2026.
