Dlocal

Senior Cloud Database Administrator (NoSQL & AWS)

Job Description

What’s the opportunity?
We are looking for a Cloud Database Administrator focused on NoSQL and the AWS ecosystem to expand our team’s capabilities beyond MySQL/Aurora and accelerate our platform evolution at scale.
You will own critical database services in production, driving performance, reliability, automation, and cost efficiency across our cloud data layer.



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 DocumentDB and MongoDB clusters, 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?
  • At dLocal, we embrace an AI‑first culture—using AI tools is a standard part of how we design, build, and operate.
  • Hands‑on, senior‑level expertise operating DynamoDB in production (table design and single‑table modeling, indexes, Streams, backup/restore, performance/cost optimization) — this is a must‑have.
  • Experience with AWS MSK or Kafka for event‑driven and streaming use cases — highly valued.
  • Experience with DocumentDB and/or MongoDB administration (cluster sizing, replication/sharding, indexing, backups, upgrades, performance tuning).
  • Solid command of AWS cloud fundamentals for data platforms (IAM, KMS encryption, networking basics, S3 patterns, monitoring/alerting with CloudWatch; experience with DMS and Lambda is a plus).
  • Automation proficiency using Python or JavaScript/TypeScript, GO the AWS CLI, and SDKs to build repeatable operations and safety checks.
  • Working knowledge of relational databases as a plus (e.g., MySQL/Aurora, PostgreSQL) to partner with peers and support hybrid data designs.
  • Clear communication in English and a collaborative, service‑oriented mindset working with distributed teams.

    • Nice to Have
  • Certifications in AWS (e.g., Solutions Architect, Database – Specialty) or equivalent demonstrable expertise.
  • Experience with infrastructure as code and Git‑based workflows (e.g., Terraform/CloudFormation, GitOps).
  • Exposure to containers/orchestration (ECS/EKS) and securing data workloads in cloud‑native environments.
  • Prior work with DocumentDB/MongoDB performance tuning at scale and multi‑region topologies.

  • Ownership and bias for action, with strong troubleshooting instincts and attention to detail.
  • Proactive approach to automation, continuous improvement, and reliability engineering.
  • Collaboration and communication that builds trust across engineering, platform, and operations teams.

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