Remote-First Database Reliability Engineer | Automate & scale

sportygroup

United States

Remote

USD 130,000 - 180,000

Full time

7 days ago
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Benefits offered by this job

Remote-first culture
Competitive salary + bonuses
28 days paid annual leave
Flexible core hours 10am–3pm local
Top of the line equipment
Annual company retreats

Job summary

Sporty is a remote-first company optimizing for sustainability and global reach. We are seeking a Database Reliability Engineer to own and evolve our database stack across regions, ensuring high availability, performance, and security.

You’ll implement automation and tooling in Go/Python, collaborate with dev teams, and drive reliability initiatives. Join a team that values research, innovation, and scalable data infrastructure, with a focus on cross-country deployments and modern cloud-native

Qualifications

  • 4+ years designing, implementing, and supporting advanced MySQL and MongoDB deployments.
  • Experience running large-scale DBs in production with focus on reliability and performance.
  • Strong automation mindset with Go/Python tooling to reduce manual work.
  • Solid understanding of SRE concepts, SLIs, SLOs, and data security best practices.

Responsibilities

  • Design, implement, and maintain highly available database architectures across multiple regions.
  • Improve and tune existing DB infrastructure, including backups, disaster recovery, and capacity planning.
  • Develop automation tools in Go/Python to streamline DB operations and reduce errors.
  • Monitor DB health, set up alerting based on SLO burn rates, and lead production deployments.

Skills

MySQL
MongoDB
Database design
Go
Python
Automation scripting
SRE practices

Tools

Terraform
Kubernetes
Prometheus
Grafana
AWS

Job description

Sporty is a remote-first company optimizing for sustainability and global reach. We are seeking a Database Reliability Engineer to own and evolve our database stack across regions, ensuring high availability, performance, and security.

You’ll implement automation and tooling in Go/Python, collaborate with dev teams, and drive reliability initiatives. Join a team that values research, innovation, and scalable data infrastructure, with a focus on cross-country deployments and modern cloud-native

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