Database Engineer - Fully Remote | Up to $2200/task
mercor · Remote — Singapore
عن بُعد
سجّل الدخول وارفع سيرتك لترى توافقك مع هذه الوظيفة.
تسجيل الدخولملخص الوظيفة
- المكان
- Remote — Singapore
- نمط العمل
- عن بُعد
- نوع العمل
- عقد / مستقل
- مستوى الخبرة
- خبير
- تاريخ النشر
- 11 أكتوبر 2026
- آخر تحقق من المصدر
- 11 أكتوبر 2026
- مصدر الوظيفة
- عبر Himalayas
المتطلبات
• 5+ 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.
Application Process (Takes 20–30 mins to complete)
• Complete a self-paced technical assessment with recorded verbal responses and a coding exercise.
• 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.
المهارات
- Python
- Java
- C++
- Rust
- SQL
التأشيرة والانتقال
الإعلان لا يذكر كفالة التأشيرة. تحقّق من الإعلان الأصلي أو اسأل الشركة.
الإعلان لا يذكر دعم الانتقال.
وصف الوظيفة
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Database Systems Evaluation Expert
Type:Contract
Compensation:$2200 per task
Location:Remote
Role Responsibilities
• Design challenging, self-contained database engineering tasks.
• Build checks for correctness, failure handling, concurrency, retries, and regressions.
• Evaluate performance measures such as latency, throughput, and memory use.
• Write clear grading criteria for engineering judgment.
• Collaborate with technical reviewers to refine and validate tasks.
Qualifications
Must-Have
• 5+ 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.
Application Process (Takes 20–30 mins to complete)
• Complete a self-paced technical assessment with recorded verbal responses and a coding exercise.
• 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.
Resources & Support
• For details about the interview process and platform information, please check:
• For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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التقديم من الموقع الأصلي ↗مصدر الوظيفة: عبر Himalayas
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