
dLocal is hiring
Cloud Architect
What will I be doing?
Own, operate, and optimize DynamoDB workloads in production, including data modeling, capacity strategy (provisioned/onādemand), GSIs/LSIs, TTL, Streams, backup/restore, and multiāregion 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/rootācause 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 onācall rotation and attend emergency escalations, including during offāhours when required
What skills do I need?
At dLocal, we embrace an AIāfirst cultureāusing AI tools is a standard part of how we design, build, and operate.
Handsāon, seniorālevel expertise operating DynamoDB in production (table design and singleātable modeling, indexes, Streams, backup/restore, performance/cost optimization) ā this is a mustāhave.
Experience with AWS MSK or Kafka for eventādriven and streaming use cases ā 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, serviceāoriented mindset working with distributed teams.
Nice to Have
Certifications in AWS (e.g., Solutions Architect, Database ā Specialty) or equivalent demonstrable expertise.
Experience with infrastructure as code and Gitābased workflows (e.g., Terraform/CloudFormation, GitOps).
Exposure to containers/orchestration (ECS/EKS) and securing data workloads in cloudānative environments.
Prior work with DocumentDB/MongoDB performance tuning at scale and multiāregion 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.
