Database Reliability Engineer

I’m recruiting on behalf of a successful algorithmic-trading research company specializing in the development and deployment of High-Frequency Trading strategies.

The company combines advanced technology and algorithms developed by an experienced team of researchers and developers, working in a challenging, collaborative, and rewarding environment.

We are looking for an experienced and purpose-driven Database Reliability Engineer to join the company’s Infrastructure and Operations team.

What You’ll Do

• Design, implement, configure, and maintain database platforms, including MySQL, Redis, Elasticsearch, and InfluxDB, within Linux environments
• Manage databases deployed across both on-premises infrastructure and cloud environments
• Support developers and users with query design, troubleshooting, and performance optimization
• Monitor database health, capacity, and performance, proactively identify bottlenecks, and recommend improvements
• Maintain database availability, reliability, data integrity, security, backup, and recovery processes
• Work closely with developers, researchers, and infrastructure teams to resolve operational issues and improve database services
• Support the operation and optimization of large-scale, high-throughput database clusters and distributed data platforms
• Contribute to the planning, documentation, automation, and continuous improvement of database operations and procedures

What You’ll Need

• 8+ years of experience in database engineering within large-scale, production-critical environments
• Strong hands-on expertise in database infrastructure, automation, reliability, and performance optimization
• In-depth knowledge of database architecture, Linux systems, and system-level troubleshooting
• Proven experience with MySQL, Redis, and InfluxDB
• Working knowledge of ClickHouse, PostgreSQL, and Elasticsearch
• Strong scripting or programming skills for infrastructure automation
• Experience using AI agents or AI-assisted tools in complex technical environments
• A bachelor’s degree in Computer Science, a relevant technical certification, or equivalent practical experience
• A practical and analytical approach to problem-solving, strong communication skills, and a high level of ownership
• Experience applying modern DevOps practices within complex environments - an advantage