Database Engineer - Fully Remote | Up to $2200/task

mercor; Deutschland; A distancia; Jornada completa

Descripción de la vacante

Mercor is seeking a Database Systems Evaluation Expert for remote engagement. You will design challenging, self-contained database engineering tasks, build robust correctness checks, and evaluate performance metrics such as latency and throughput.

The role requires deep expertise in storage engines, query execution, optimization, and low-latency systems. You will write clear grading criteria and collaborate with technical reviewers to validate tasks.

Formación

• 5+ years of hands-on database-engine internals experience or a related PhD.
• Deep experience with storage engines, query execution, optimization, transactions, or low-latency replication.

Responsabilidades

• 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.

Conocimientos

DB engineering

Performance tuning

Distributed systems

Educación

DB PhD

Descripción del empleo

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

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

• 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.