Cloud Architect

Why Join dLocal?
dLocal is the financial infrastructure powering global commerce in the world's fastest-growing markets. The biggest companies in the world trust us to unlock growth in 60+ countries across emerging markets—moving money where others see complexity. We don't just process payments; we are architects of payment ecosystems and partners in our customers' expansion. You'll work alongside 1,300+ teammates from 40+ nationalities and tackle global challenges from day one.

What will I be doing?

• Own, operate, and optimizeDynamoDB workloads in production, including data modeling, capacity strategy (provisioned/on‑demand), GSIs/LSIs, TTL, Streams, backup/restore, and multi‑region patterns.

• Design, deploy, and maintainrelational and not relational databases, including sharding, indexing strategies, backups, and performance tuning.

• LeverageAWS 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 anon‑call rotation and attend emergency escalations, including during off‑hours when required

What skills do I need?

• AtdLocal, we embrace anAI‑first culture—usingAI tools is a standard part of how we design, build, and operate.

• Hands‑on, senior‑level expertise operatingDynamoDB in production (table design and single‑table modeling, indexes, Streams, backup/restore, performance/cost optimization) — this is a must‑have.

• Experience withAWS MSK orKafka for event‑driven and streaming use cases — highly valued.

• Experience withDocumentDB and/orMongoDB administration (cluster sizing, replication/sharding, indexing, backups, upgrades, performance tuning).

• Solid command ofAWS 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 usingPython orJavaScript/TypeScript,GO the AWSCLI, and SDKs to build repeatable operations and safety checks.

• Working knowledge of relational databasesas 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 inAWS (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.