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Sporty Group

Database Reliability Engineer

Reposted One Month Ago
Remote
Hiring Remotely in Ireland, IRL
Mid level
Remote
Hiring Remotely in Ireland, IRL
Mid level
Own and improve large-scale, highly available database architectures across regions. Automate operations with Go/Python, handle performance tuning, capacity planning, backup/recovery, security audits, monitoring (SLO-based alerting), schema changes, data migrations, and collaborate with dev teams on optimization and troubleshooting.
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About the role

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. There’s also freedom to research and implement new technologies into our stack as you and the team see fit.

Our Stack

  • Relational Databases: AWS Aurora MySQL/PostgreSQL 
  • NoSQL Databases: MongoDB Atlas, AWS DocumentDB
  • Caching Layer: AWS ElastiCache, Valkey
  • Message Queue: Apache RocketMQ, RabbitMQ
  • Search Engine: ElasticSearch, Mongo Atlas
  • OLAP: Redshift
  • Monitoring & Alerting: Prometheus, Grafana, Loki, Alert Manager
  • Backup & Recovery: AWS Backup, Point-in-Time Recovery, Cross-Region Replication
  • Database Proxy: RDS Proxy
  • Infrastructure as Code: Terraform, Ansible
  • CI/CD Integration: Jenkins, ArgoCD, Github Action, Helm
  • Network & Security: AWS VPC, Security Groups, AWS Secrets Manager
  • Programming Languages: Golang, Python
  • Containerization: Kubernetes

What you'll be doing

  • Work in a team of DBRE and DevOps professionals
  • 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
  • Monitor database health and performance metrics, establish alerting mechanisms based on SLO burn rates, and proactively identify potential issues
  • Take ownership and responsibility for database operations including schema changes, data migrations, and production deployments
  • Collaborate with development teams to provide database design consultation, query optimization, and troubleshooting support
  • Conduct regular database security audits and implement security best practices to protect sensitive data

What you'll bring

  • 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

What’s in it for you

  • 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
  • Annual company retreats to provide great internal networking opportunities

Interview Process

  • Remote video screening with our Talent Acquisition Team 
  • Online assessment via Hackerrank
  • Remote video interview with Team Members (60 Mins)
  • Final discussion with the hiring manager (60 mins)

If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

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