Cloud Architect

What’s the opportunity?

We are looking for a Cloud Architect 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 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?

• 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.