Database Performance Engineer

Il y a 2 mois


Paris, Île-de-France Doctolib Temps plein

About Doctolib

Doctolib is a healthcare technology company dedicated to improving access to care for everyone. Our tech team develops innovative products and features to enhance the lives of both patients and medical professionals. We operate in an agile environment, collaborating closely with product, design, and business teams.

Your Role: Database Reliability Engineer

We are seeking a skilled Database Reliability Engineer to join our Database Optimization team. You will play a crucial role in ensuring the performance and stability of our databases, which are essential to our platform's success.

Responsibilities:

  • Guide feature teams on best practices for database management.
  • Collaborate on strategies to break down our primary PostgreSQL database (30TB) into smaller, more manageable units.
  • Analyze query performance and data models, providing recommendations to feature teams for optimization.
  • Implement monitoring and alerting systems to proactively identify potential performance issues.
  • Execute maintenance tasks on our managed databases to enhance stability and improve overall performance.
  • Mentor junior engineers on database performance challenges, including query optimization and best practices.

Qualifications:

  • 8+ years of experience as a Database Administrator or Engineer with a focus on reliability and scalability.
  • Proven ability to identify and resolve database performance bottlenecks.
  • Excellent communication skills, enabling effective knowledge transfer.
  • Experience in mentoring junior engineers on database performance challenges (queries optimization and best practices).
  • A passion for continuous learning and improvement within a collaborative team environment.
  • Business fluency in English.

Bonus Points:

  • Experience with architectural decisions for high-traffic web applications, particularly addressing scalability challenges on large databases.
  • Familiarity with cloud-based environments and databases such as AWS Aurora PostgreSQL.
  • Experience with NoSQL databases such as MongoDB.
  • Knowledge of Change Data Capture ecosystems & technologies like Kafka and Debezium.


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