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.
