What will I be doing?

• Own, operate, and optimize DynamoDB workloads in production, including data modeling, capacity strategy (provisioned/on‑demand), GSIs/LSIs, TTL, Streams, backup/restore, and multi‑region patterns.

• Design, deploy, and maintain relational and not relational databases, including sharding, indexing strategies, backups, and performance tuning.

• Leverage AWS services across the data stack (e.g., S3, KMS, IAM, CloudWatch, DMS, Lambda) to build reliable, observable, and secure data solutions.

• Implement automation-as-code (CLI/SDK) for schema and capacity changes, operational tasks, and guardrails to reduce toil and error.

• Establish and improve observability for databases (metrics, logs, traces, dashboards, SLOs/alerts) and lead performance/root‑cause investigations.

• Collaborate with engineers to design efficient data access patterns and guide migrations and schema evolution with minimal downtime.

• Contribute to reliability engineering practices (backups, DR, chaos/restore testing, incident reviews) across NoSQL platforms.

• Participate in an on‑call rotation and attend emergency escalations, including during off‑hours when required

What skills do I need?

• Flexibility: we have flexible schedules and we are driven by performance.

• Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity.

• Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!

• dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.