Cloud Operations Engineer (3rd Shift, Weekend)
MongoDB
full-remotemidpermanentdevopsbackend Full remote 110 days ago via WTTJ
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Cloud OperationsSREDevOpsLinuxAWSKubernetesMonitoringNetworkingPythonMongoDB
About the role
Role overview
Join MongoDB as a Cloud Operations Engineer (3rd Shift, Weekend) on a global 24/7/365 team responsible for the operational success of MongoDB Atlas (a multi-cloud database-as-a-service).
Key responsibilities
- Monitor system performance, alerts, and critical events to ensure MongoDB Atlas client availability.
- Troubleshoot issues and perform server administration tasks.
- Collaborate with global Cloud Operations engineers to meet availability guarantees.
- Help implement and refine new processes and tools to scale Cloud Operations engineering.
Requirements
- Strong background in cloud operations with critical thinking to detect, resolve, or escalate broad/complex issues.
- Experience with monitoring and performance data collection, analysis, and reporting.
- At least one programming language: Java, Go, Python, or JavaScript.
- Knowledge of database operations/concepts and a wide range of web/internet technologies.
- Networking expertise (e.g., DNS, TCP/IP).
- On-call experience as DevOps/SRE/Cloud Operations engineer (minimum 2 years).
- Linux system administration, configuration, and troubleshooting.
- Ability to write small programs/scripts to solve short-term systems problems.
- Degree in CS/CE or equivalent experience.
Nice-to-haves / additional skills
- Familiarity with AWS and other cloud platforms (e.g., GCP, Azure).
- Experience with Kubernetes.
- Experience with Splunk.
- MongoDB familiarity/experience.
About MongoDB
MongoDB provides a database platform and related services, including MongoDB Atlas, a managed database-as-a-service. The company operates in the multi-cloud data and database industry, helping organizations build and scale applications on MongoDB-managed infrastructure.
Scraped 6/24/2026