sportygroup

Database Reliability Engineer

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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

MongoDBMySQL

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