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 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.
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.
Nice to Have
- Flexibility in how you work: We focus on impact and productivity over fixed hours. This means our teams have flexible schedules and, depending on your role and location, you will combine self‑managed focus time with moments of in‑person connection in our collaboration hubs.
- Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity.
- Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded.
- Work From Anywhere: Team members can work while traveling for up to 3 months every year.
Skills Required
- Hands-on, senior-level expertise operating DynamoDB in production (table design, single-table modeling, indexes, Streams, backup/restore, performance/cost optimization).
- Strong AWS fundamentals for data platforms (IAM, KMS, S3 patterns, CloudWatch monitoring/alerting, DMS, Lambda).
- Automation proficiency using Python or JavaScript/TypeScript, Go, the AWS CLI, and SDKs to build repeatable operations and safety checks.
- Experience administering DocumentDB and/or MongoDB (cluster sizing, replication/sharding, indexing, backups, upgrades, performance tuning).
- Participate in an on-call rotation and respond to emergency escalations, including off-hours.
- Clear communication in English and ability to collaborate with distributed teams.
- Experience with AWS MSK or Kafka for event-driven and streaming use cases.
- Working knowledge of relational databases (MySQL/Aurora, PostgreSQL) to support hybrid data designs.
- AWS certifications (Solutions Architect, Database - Specialty) or demonstrable equivalent expertise.
- Experience with infrastructure-as-code and Git-based workflows (Terraform/CloudFormation, GitOps) and containers/orchestration (ECS/EKS).
What We Do
dLocal started with one goal – to close the payments innovation gap between global enterprise companies, and customers in emerging economies. We have over 900 payment methods, in more than 40 countries. With the ability to accept local payment methods and facilitate cross-border fund settlement worldwide, our merchants reach billions of underserved consumers in the high-growth markets of Africa, Asia, and Latin America. dLocal offers the ideal payment solutions for global commerce: Payins: Accept local payment methods Payouts: Compliantly send funds cross-border Defense Suite: Manage fraud effectively dLocal for Platforms: Unify your platform’s payment solution Local Issuing: Localize payments for your gig-economy workers, suppliers, and partners
