Pay: Salary not listed in the saved posting
Work setup: Remote stated — work setup source
Platform Database Engineer Location: Colombia – Remote About the Role
Listed location: Argentina - Remote
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Employment: Unconfirmed

What you’ll work on

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.

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.

From the employer’s posting

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.

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.

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.

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.

What you’ll bring

All qualifications

Core experience

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.
Ability to participate in on‑call rotation and incident response.

Preferred experience

Experience with Kafka, CDC, and enterprise data integration platforms.
Familiarity with GitOps practices and infrastructure observability at enterprise scale.

Qualification wording

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.

Ability to participate in on‑call rotation and incident response.

Experience with Kafka, CDC, and enterprise data integration platforms.

Familiarity with GitOps practices and infrastructure observability at enterprise scale.

Tools in this posting

Python
AWS
Kafka
MongoDB
Terraform
Bash
Kubernetes

Source

- Experience with Dynatrace, Prometheus, or equivalent observability platforms. - Strong Linux administration expertise and scripting skills (Python, Bash). - Excellent analytical, communication, and documentation skills.

- 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).

Preferred Qualifications - Experience with Kafka, CDC, and enterprise data integration platforms. - Familiarity with GitOps practices and infrastructure observability at enterprise scale.

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

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.

- 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.

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).

- 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.

- 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.

Job description

View original posting ↗

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.

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.

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Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: Argentina - Remote
Platform Database Engineer Location: Colombia – Remote About the Role
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at job-boards.eu.greenhouse.io ↗Read the full description ↓

Status in our records: Active
First seen by us: Apr 14, 2026
Recorded sightings: 259
Last seen by us: Oct 10, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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