Database Reliability Engineer
New
Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bermuda, Bolivia, Bonaire, Sint Eustatius and Saba, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela, Virgin Islands, British, Virgin Islands, U.S., Core working hours are 10am-3pm in your local time zoneFull-TimeSenior
SalaryA competitive salary + individual performance based bonuses every quarter
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Job Details
- Experience
- 4+ years
- Required Skills
- PythonKubernetesMongoDBMySQLGoTerraform
Requirements
- 4+ years experience tackling and managing advanced MySQL and MongoDB problems.
- Proven experience in managing large-scale database systems in production environments.
- Deep understanding of database architecture, performance optimisation, high availability solutions, and database security best practices.
- Strong automation mindset and programming skills to build tools that improve database operations and reliability.
- Understanding of SLI/SLO/SLA concepts and experience implementing reliability engineering practices.
- Proficiency with programming languages Go and Python.
- Ability to stay updated with latest industry trends in database technologies.
Responsibilities
- 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.
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