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© Fuzu Ltd
Paystack
Finance & FinTech
Description
Requirements
- 5+ years of experience as a Database Administrator or Database Reliability Engineer.
- Deep expertise with relational databases such as MySQL, including replication, partitioning, and high availability configurations.
- Solid experience with NoSQL databases such as Redis, MongoDB,.
- Experience operating databases on AWS (RDS, Aurora) or similar cloud-managed database services .
- Hands-on experience with Infrastructure as Code tools like Terraform for provisioning and managing database infrastructure.
- Proficiency in writing scripts and automation using SQL, Python, Bash, or similar languages.
- Experience with database observability using monitoring and alerting tools like Prometheus, Grafana, and CloudWatch.
- Experience using AI-assisted tooling (e.g., AI-powered query advisors, LLM-based copilots, or automated performance analysers) to improve database operations and troubleshooting workflows.
Responsibilities
- Owns database architecture and strategy end to end, often collaborating across engineering teams.
- Designs and implements database solutions that are scalable, highly available, and fault-tolerant to support mission-critical payment workloads.
- Plans and executes database migrations, upgrades, and schema changes with minimal downtime.
- Builds and maintains automated database provisioning, backup, and recovery pipelines using Infrastructure as Code tools.
- Proactively identifies and resolves performance bottlenecks through query optimisation, indexing strategies, and capacity planning.
- Leverages AI-driven tools and techniques for anomaly detection, predictive performance tuning, and automated root cause analysis of database issues.
- Implements and manages database monitoring and alerting using tools like Prometheus and Grafana to ensure early detection of issues.
- Designs and enforces database security policies, including encryption at rest and in transit, access controls, and audit logging.
- Leads incident response for database-related outages, conducts root cause analysis, and drives postmortems to prevent recurrence.
- Develops and maintains disaster recovery and business continuity plans for all database systems.
- Tackles ambiguous, high-risk data challenges proactively and introduces new ideas to simplify complex data architectures.
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