Cloud NoSQL & Graph Database Engineer IV - Remote

Overview

The Cloud NoSQL & Graph Database Engineer performs database engineering and administration activities, including design, planning, configuration, monitoring, automation, self-serviceability, alerting, and space management. The role involves database backup and recovery, performance tuning, security management, and migration strategies. The ideal candidate will lead and advise on Neo4j and MongoDB database solutions, including migration, modernization, and optimization, while also supporting secondary RDBMS platforms (SQL Server, PostgreSQL, MySQL, Oracle). The candidate should be proficient in workload migrations to Cloud (AWS/Azure/GCP).

In Short

• Neo4j & MongoDB Administration: Install, configure, and maintain Neo4j (GraphDB) and MongoDB (NoSQL) databases in cloud and on-prem environments.
• Graph & NoSQL Data Modeling: Design and implement graph-based models in Neo4j and document-based models in MongoDB to optimize data retrieval and relationships.
• Performance Tuning & Optimization: Monitor and tune databases for query performance, indexing strategies, and replication performance.
• Backup, Restore, & Disaster Recovery: Design and implement backup and recovery strategies for Neo4j, MongoDB, and secondary database platforms.
• Migration & Modernization: Lead database migration strategies, including homogeneous and heterogeneous migrations between NoSQL, Graph, and RDBMS platforms.
• Capacity Planning: Forecast database growth and plan for scalability, optimal performance, and infrastructure requirements.
• Patch Management & Upgrades: Plan and execute database software upgrades, patches, and service packs.
• Monitoring & Alerting: Set up proactive monitoring and alerting for database health, performance, and potential failures using Datadog, AWS CloudWatch, Azure Monitor, or Prometheus.
• Automation & Scripting: Develop automation scripts using Python, AWS CLI, PowerShell, Shell scripting to streamline database operations.
• Security & Compliance: Implement database security best practices, including access controls, encryption, key management, and compliance with cloud security standards.

Requirements

• Strong expertise in Neo4j (Cypher Query Language, APOC, Graph Algorithms, GDS Library) and MongoDB (Aggregation Framework, Sharding, Replication, Indexing).
• Experience with homogeneous and heterogeneous database migrations (NoSQL-to-NoSQL, Graph-to-RDBMS, RDBMS-to-NoSQL).
• Familiarity with database monitoring tools such as Datadog, Prometheus, CloudWatch, Azure Monitor.
• Proficiency in automation using Python, AWS CLI, PowerShell, Bash/Shell scripting.
• Experience in cloud-based database deployment using AWS RDS, Aurora, DynamoDB, Azure SQL, Azure CosmosDB, GCP Cloud SQL, Firebase, BigTable.
• Understanding of microservices and event-driven architectures, integrating MongoDB and Neo4j with applications using Kafka, RabbitMQ, or AWS SNS/SQS.
• Experience with containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform, CloudFormation, Ansible).
• Strong analytical and problem-solving skills for database performance tuning and optimization.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional development and certifications.
• Flexible working hours and remote work options.
• Collaborative and innovative work environment.
• Access to cutting-edge technology and tools.