Cloud Architect at dLocal
Job Description
What will I be doing?
Own, operate, and optimize DynamoDB workloads in production, including data modeling, capacity strategy (provisioned/onâdemand), GSIs/LSIs, TTL, Streams, backup/restore, and multiâregion 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/rootâcause 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 onâcall rotation and attend emergency escalations, including during offâhours when required
What skills do I need?
At dLocal, we embrace an AIâfirst cultureâusing AI tools is a standard part of how we design, build, and operate.
Handsâon, seniorâlevel expertise operating DynamoDB in production (table design and singleâtable modeling, indexes, Streams, backup/restore, performance/cost optimization) â this is a mustâhave.
Experience with AWS MSK or Kafka for eventâdriven and streaming use cases â 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, serviceâoriented mindset working with distributed teams.
Nice to Have
Certifications in AWS (e.g., Solutions Architect, Database â Specialty) or equivalent demonstrable expertise.
Experience with infrastructure as code and Gitâbased workflows (e.g., Terraform/CloudFormation, GitOps).
Exposure to containers/orchestration (ECS/EKS) and securing data workloads in cloudânative environments.
Prior work with DocumentDB/MongoDB performance tuning at scale and multiâregion 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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