Cloud Architect

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.