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The ad doesn’t say — see the full posting.
The ad doesn’t say which hours. Ask the company.
Platform Database Engineer Location: Colombia – Remote About the Role The Platform Database Engineer is responsible for designing, deploying, administering, and optimizing MongoDB (Atlas and on‑premise) within a large-scale, cloud-based enterprise ecosystem. This role blends deep database engineering expertise with SRE principles to ensure performance, reliability, scalability, and automation across mission‑critical data platforms. What You Will Do • Architect, implement, and maintain MongoDB Atlas and non‑Atlas environments, ensuring high availability, scalability, and security. • Design and enforce resiliency and disaster recovery strategies, including backup, restore, and multi‑region failover. • Optimize database performance and query execution to support application development teams throughout all SDLC phases. • Develop and manage infrastructure‑as‑code solutions (Terraform, GitOps) for database provisioning and automation. • Implement and refine observability and monitoring solutions using Dynatrace, CloudWatch, and MongoDB native telemetry. • Manage access control, auditing, and encryption to meet enterprise security and compliance requirements. • Collaborate closely with application, DevOps, and platform teams to continuously improve reliability, performance, and operational excellence. • Lead incident response for database‑related issues, drive root cause analysis, and implement corrective and preventative measures. • Mentor and guide technical teams, contributing to documentation, standards, and design reviews. Minimum Qualifications • 4+ years of experience as a MongoDB DBA, including 4+ years administering MongoDB Atlas. • Strong experience with the AWS ecosystem (EC2, EKS, CloudWatch, IAM, KMS, VPC, Lambda). • Proficiency in Terraform, GitOps, CI/CD automation, and containerized workloads (EKS/Kubernetes). • Experience with Dynatrace, Prometheus, or equivalent observability platforms. • Strong Linux administration expertise and scripting skills (Python, Bash). • Excellent analytical, communication, and documentation skills. • Ability to participate in on‑call rotation and incident response. • Travel requirement: <10%. Preferred Qualifications • Experience with Kafka, CDC, and enterprise data integration platforms. • Familiarity with GitOps practices and infrastructure observability at enterprise scale.