Cloud Architect
HybridSão Paulo, São Paulo, Brazil or Buenos Aires, Buenos Aires F.D., Argentina
Job Summary
Own, operate, and optimize DynamoDB workloads in production, including data modeling, capacity strategy, GSIs/LSIs, TTL, Streams, and multi-region patterns. Design, deploy, and maintain relational and non-relational databases with sharding, indexing, and performance tuning. Leverage AWS services across the data stack to build reliable, observable, and secure solutions. Implement automation-as-code for schema and capacity changes. Establish and improve observability for databases and lead performance/root-cause investigations. Collaborate with engineers to guide migrations and schema evolution with minimal downtime. Participate in an on-call rotation and attend emergency escalations.
Required Qualifications
- Hands-on, senior-level expertise operating DynamoDB in production (table design and single-table modeling, indexes, Streams, backup/restore, performance/cost optimization)
- Experience with AWS MSK or Kafka for event-driven and streaming use cases
- 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)
- Automation proficiency using Python or JavaScript/TypeScript, GO the AWS CLI, and SDKs to build repeatable operations and safety checks
- Clear communication in English and a collaborative, service-oriented mindset working with distributed teams
- Participate in an on-call rotation and attend emergency escalations, including during off-hours when required
Desired Qualifications
- 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)
- Working knowledge of relational databases as a plus (e.g., MySQL/Aurora, PostgreSQL) to partner with peers and support hybrid data designs
- 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
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