DBA

Focus: Reliability · Performance · Cloud-Native Databases · Data Integrity Positioning: Keeping the data layer fast, resilient, and production-ready — from query optimization to cloud-managed database operations at scale. 🌟 What do we offer? Challenging projects: Focused on the incorporation of LLMs and GenAI in SaaS-like products within specialized domains. Growth opportunity: Opportunity to join a growing startup with multiple professional development opportunities. Real impact: Work on state-of-the-art solutions, directly influencing user experience and business outcomes. Excellent work environment: Full of highly motivated and talented young professionals. Flexibility: Opportunity to work on-site and remotely. 🧑🏻‍💻 Responsibilities: Administer, monitor, and maintain MySQL databases in production environments Diagnose and resolve performance issues: slow queries, lock contention, index design, execution plans Manage and operate cloud database services on AWS (RDS, DMS), including provisioning, patching, backups, and failover Design and implement backup, recovery, and high-availability strategies Perform and coordinate database migrations using AWS DMS and related tooling Collaborate with engineering teams on schema design, query optimization, and capacity planning Define and enforce database security policies, access controls, and compliance standards Document procedures, runbooks, and change management protocols 🤝 If you have: Experience in software engineering; AI Engineers with solid software engineering foundations are preferred. Solid hands-on experience administering MySQL in production environments (performance tuning, troubleshooting, replication) Proven experience with AWS database services, particularly RDS and DMS Strong ability to analyze and optimize query execution, indexing strategies, and database configuration Experience with backup/restore procedures and disaster recovery planning Advanced English — both written and spoken, for client and team communication Plus: Experience with PostgreSQL administration Familiarity with NoSQL engines (MongoDB, DynamoDB, Redis, or similar) Experience with data streaming tools such as Kinesis or Kafka Knowledge of scripting or automation for database tasks (Python, Bash) Experience with monitoring and observability tools (CloudWatch, Datadog, Prometheus/Grafana) This call is made within the framework of Law 19.691 on the Promotion of Employment for Persons with Disabilities, including individuals registered in the National Registry of Persons with Disabilities of the Ministry of Social Development