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Support Engineer Database MongoDB & Elasticsearch

NairobiOn-siteContract

AI Summary

L2 Support Engineer for MongoDB and Elasticsearch in a 24/7 production environment, responsible for monitoring, troubleshooting, performance tuning, incident resolution, and root cause analysis.

About this role

We are looking for an experienced L2 Support Engineer – Database with strong hands-on expertise in ** MongoDB and Elasticsearch** to join our production support team in Angola or Kenya.

The successful candidate will be responsible for providing Level 2 operational and technical support for database and search platforms in a 24/7 production environment. The role requires strong troubleshooting skills, experience managing production incidents, and the ability to identify and resolve performance and availability issues.

Tasks

  • Provide L2 production support for MongoDB and Elasticsearch environments.
  • Monitor database and platform health, performance, availability and capacity.
  • Troubleshoot and resolve database, indexing, connectivity and performance-related issues.
  • Perform **MongoDB administration **, including database monitoring, replication, backup/recovery and performance optimisation.
  • Support **Elasticsearch administration **, including cluster health, node management, indexing, shards, replicas and performance troubleshooting.
  • Investigate and resolve production incidents in accordance with defined **SLAs and operational procedures **.
  • Perform root cause analysis (RCA) for recurring or critical incidents and recommend preventative actions.
  • Monitor system alerts and proactively identify potential issues before they impact production.
  • Perform performance tuning and optimisation across MongoDB and Elasticsearch environments.
  • Support database upgrades, configuration changes, maintenance activities and deployments.
  • Work with development, infrastructure, cloud and application teams to troubleshoot complex production issues.
  • Develop and maintain monitoring, operational and automation scripts to improve support efficiency.
  • Maintain accurate technical documentation, troubleshooting guides and operational procedures.
  • Participate in the **24/7 rotational support schedule **, including out-of-hours and weekend shifts where required.

Requirements

  • 3–5 years of experience in database administration, production support or infrastructure support.
  • Strong hands-on experience with **MongoDB administration and troubleshooting **.
  • Strong hands-on experience with **Elasticsearch administration and troubleshooting **.
  • Proven experience supporting **production environments **.
  • Strong understanding of database performance, monitoring and optimisation.
  • Experience with **incident management, problem management and root cause analysis **.
  • Experience working with monitoring and alerting tools.Experience with automation and scripting for operational/support activities.
  • Good understanding of Linux/Unix environments.
  • Strong troubleshooting and analytical skills.
  • Ability to work effectively under pressure in a **24/7 operational environment **.
  • Good communication and collaboration skills.

Desirable

  • Experience with MongoDB replication, sharding and backup/recovery.
  • Experience with Elasticsearch clusters, shards, replicas and index lifecycle management.
  • Knowledge of cloud environments such as **AWS, Microsoft Azure or Google Cloud **.
  • Experience with Docker and/or Kubernetes.
  • Knowledge of DevOps and CI/CD practices.
  • Experience with scripting languages such as **Python, Bash or Shell **.
  • Relevant MongoDB, Elasticsearch or cloud certifications.

We are looking for someone who is **hands-on, technically strong and proactive **, with the ability to independently investigate production issues and drive them through to resolution.

The ideal candidate will be comfortable working in a fast-paced **24/7 production support environment **, collaborating with multiple technical teams and continuously looking for ways to improve system reliability, performance and operational efficiency.

Skills

AWSBackup And RecoveryBashCI/CDDatabase ReplicationDockerElasticsearchGCPIncident ManagementIndex Lifecycle ManagementKubernetesLinuxMicrosoft AzureMongoDBMonitoring And Alerting ToolsPythonRoot Cause AnalysisShardingShell ScriptingSLA Management

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