Senior Cloud Database Administrator
Why should you join dLocal?dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets. By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.
What’s the opportunity?
We are looking for a Senior Cloud DBA with strong experience in MySQL (Aurora/RDS/Community) and AWS cloud infrastructure to join our high-impact platform team. This role requires a combination of deep database expertise, scripting and automation skills, and familiarity with modern cloud-native environments. You will be responsible for managing mission-critical databases in a fast-paced microservices ecosystem, ensuring performance, scalability, observability, and availability.What will I be doing?
- Interact daily with software and infrastructure engineers to provide reliable database services in production and staging environments.
- Maintain and optimize MySQL (Aurora, RDS, and Community) instances running in AWS, ensuring performance, reliability, and zero downtime.
- Design and implement HA and disaster recovery strategies using Aurora Clusters, Replication, Snapshots, Backups.
- Write and review SQL queries, procedures, and indexing strategies to optimize workloads.
- Perform database migrations between versions, platforms, or environments without downtime.
- Develop and maintain automation scripts using Python, Shell Script, and AWS CLI.
- Enable observability and alerting using tools like CloudWatch, Performance Insights, custom metrics, and logs.
- Define access controls, user privileges, and implement database security best practices.
- Plan and lead the segregation of large monolithic databases into smaller, more manageable, scalable schemas.
- Propose and implement improvements for database monitoring, automation, and reliability.
- Be part of a 24/7 support rotation for major incident response (required).
What skills do I need?
- Deep experience managing MySQL database environments in production.
- Expert knowledge of MySQL RDBMS internals (v8+) and Aurora MySQL / RDS MySQL.
- Strong SQL performance tuning, indexing strategies, and query optimization.
- Deep understanding of MySQL internals: information_schema, performance_schema, slow query logs, show engine innodb status, etc.
- Experience with high-throughput, highly available environments (Multi-primary, read replicas, clustering).
- Good scripting experience: Python, Shell Script, and AWS CLI.
- Familiarity with GitOps and IaC (Infrastructure as Code) principles.
- Working knowledge of AWS Services: - Storage Data: S3, DynamoDB, ElastiCache (Redis/Memcached), OpenSearch, EBS -Data Movement Monitoring: DMS, CloudWatch, CloudTrail, Kinesis, Kafka
- Experience with observability and monitoring tools and alerting frameworks.
- Strong ownership and a proactive problem-solver mindset.
- Passion for automation and process improvement.
- Excellent communication and collaboration skills.
- Willingness to take part in an on-call rotation and respond to emergencies when needed.
- Appetite for learning and adopting new tools and technologies. Nice to Have
- Experience with MySQL tools like: Percona Toolkit, mydumper, mysqlpump, GH-OST, MySQL Shell, ProxySQL.
- Experience with NoSQL systems: DynamoDB, MongoDB.
- Experience with in-memory data stores: Redis / ElastiCache.
- Familiarity with Apache Kafka or other messaging systems.
- Knowledge of serverless and container-based architectures (Lambda, ECS, EKS).
- Experience using GenAI (generative AI) for coding, automation, or monitoring tasks.
Originally posted on Himalayas
Apply To this Job