sportygroup
Database Reliability Engineer
At a Glance
- Location
- Europe - Remote; LATAM - Remote
- Work Regime
- remote
- Experience
- 4+ years
- Posted
- 2026-03-16T09:41:48-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Engineering
Requirements
4+ years experience tackling and managing advanced MySQL and MongoDB problems
A self-driven Database Reliability Engineer with proven experience in managing large-scale database systems in production environments
Have a deep understanding of database architecture, performance optimisation, high availability solutions, and database security best practices
Following the latest industry trends in database technologies and are passionate about building reliable, scalable data infrastructure
Have strong automation mindset and programming skills to build tools that improve database operations and reliability
Understand SLI/SLO/SLA concepts and have experience implementing reliability engineering practices
Compensation & Benefits
Sporty is a remote first company in pursuit of sustainability
A competitive salary + individual performance based bonuses every quarter
28 days paid annual leave
Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
Referral bonuses & flash bonuses
Top of the line equipment
Responsibilities
With tens of millions of visitors every week, we strive to be the best in the industry for our users.
You’ll be responsible for taking ownership of our existing and new database infrastructure for multiple platforms and facilitating releases into new regions.
We wrote our systems from scratch about 4 years ago, so you’ll be working with the latest technology and won’t have to worry about decades old technologies.
Design, implement, and maintain highly available database architectures to support business growth across multiple countries
Improve existing database infrastructure, including performance tuning, capacity planning, backup/recovery strategies, and disaster recovery procedures
Develop automation tools and internal platforms using Go/Python to streamline database operations, reduce manual interventions, and minimize human errors