Platform Database Engineer (MONGO DB)
- Level
- Mid
- Work type
- Remote · Colombia only
Not stated in the posting: salary, visa.
Open. First seen 3 April 2026.
About the role
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.
What this role asks for
Standard for data engineering roles
AWS · CI/CD · Python
Common in data engineering postings at any company.
Read against Valtech's other open postings on this site.
The team: Engineering HIRES STEADILY
This role is one of 12 open in Engineering. 7 were posted in the last 30 days and the oldest in April: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Agile (6 of 12), REST (6 of 12), AWS (5 of 12), CI/CD (5 of 12), GraphQL (5 of 12), JavaScript (5 of 12), Next.js (5 of 12)
OTHER ROLES ON THIS TEAM
- Technical Director AI posted Oct 16
- Technical Director AI posted Oct 16
- Freelance Fullstack Engineer (Contentful) posted Oct 15
- Freelance Fullstack Engineer (Contentful) posted Oct 15
- Freelance Fullstack Engineer (Contentful) posted Oct 15
- Freelance Fullstack Engineer (Contentful) posted Oct 15
- Lead Optimizely Solutions Architect posted Oct 7
- Senior Flutter Engineer posted Sep 16
- AEM Technical Lead posted Jul 17
- Senior Salesforce Solution Architect posted May 14
- Platform Database Engineer posted Apr 2
From the team and dates on Valtech's own job board.
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