Senior NoSQL Database Engineer (MongoDB)

Astreya China; Chicago (IL); On-site; USD 140,000 - 170,000; Full time

Job summary

Astreya China seeks a seasoned MongoDB Database Engineer to design scalable architectures, manage replica sets, and optimize performance for enterprise applications. You will govern data models, indexing, and security while deploying across cloud platforms and containerized environments.

Responsibilities include implementing sharding, backup strategies, and DR planning, plus tuning and supporting high-availability MongoDB deployments in production.

Qualifications

• Hands-on experience with MongoDB administration and operations in production.
• Deep understanding of replica sets, sharding, Atlas, aggregation pipelines, and indexing.
• Experience with backup/recovery, security controls, and auditing practices.
• Proficiency in NoSQL data modeling, schema design, and data migration.
• Knowledge of cloud platforms (Azure/AWS/GCP) and IaC concepts.
• Familiarity with DevOps tooling and container orchestration.

Responsibilities

• Design and implement scalable MongoDB database architectures for enterprise applications.
• Establish data models, schema standards, indexing strategies, and governance.
• Evaluate access patterns and recommend optimal NoSQL structures.
• Design sharding, replication, and clustering solutions.
• Install, configure, upgrade, and maintain MongoDB databases across environments.
• Manage MongoDB Atlas deployments and perform backup/restore activities.
• Implement security controls including authentication, authorization, encryption, and auditing.
• Analyze performance issues and tune queries, indexes, and pipelines.
• Monitor health, capacity, and availability; drive continuous improvements.
• Design and support MongoDB replica sets, DR strategies, and failover testing.
• Deploy and manage across Azure, AWS, and GCP with IaC and automation.

Skills

MongoDB Administration

Replica Sets

Sharding

MongoDB Atlas

Aggregation Framework

Indexing Strategies

GridFS

Backup & Recovery

Security & Auditing

MongoDB

Cassandra

Couchbase

DynamoDB

Cosmos DB

Redis

Data modeling

Schema design

Indexing design

Tools

Terraform

Ansible

Python

Shell Scripting

Git

CI/CD pipelines

Docker

Kubernetes

Job description

Database Architecture & Engineering

• Design and implement scalable MongoDB database architectures for enterprise applications.
• Establish data models, schema design standards, indexing strategies, and data governance practices.
• Evaluate application access patterns and recommend optimal NoSQL data structures.
• Design and implement sharding, replication, and clustering solutions.

MongoDB Administration

• Install, configure, upgrade, and maintain MongoDB databases.
• Manage MongoDB Atlas, Enterprise, or Community Edition deployments.
• Perform backup, restore, recovery, and database refresh activities.
• Implement database security controls including authentication, authorization, encryption, and auditing.

Performance Optimization

• Analyze database performance issues and implement tuning recommendations.
• Optimize queries, aggregation pipelines, indexes, and data access patterns.
• Monitor database health, capacity, and resource utilization.
• Drive continuous improvements in database performance and availability.

High Availability & Disaster Recovery

• Design and support MongoDB Replica Sets.
• Implement DR strategies and ensure RPO/RTO objectives are met.
• Conduct failover testing and resiliency validation.
• Support business continuity initiatives.

Cloud & Automation

• Deploy and manage MongoDB databases across Azure, AWS, and GCP.
• Develop Infrastructure as Code (IaC) and database automation solutions.
• Automate provisioning, monitoring, patching, and operational tasks.
• Support containerized deployments using Docker and Kubernetes.

Support & Operations

• Provide L3 support for critical production environments.
• Participate in incident management, root cause analysis, and problem management activities.
• Maintain operational documentation, runbooks, and architecture standards.
• Collaborate with application, cloud, and DevOps teams.

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Required Skills

MongoDB Expertise

• Strong hands-on experience with MongoDB Administration.
• Deep understanding of:

• Replica Sets
• Sharding
• MongoDB Atlas
• Aggregation Framework
• Indexing Strategies
• GridFS
• Backup & Recovery
• Security & Auditing

NoSQL Technologies

• Experience with one or more:

• MongoDB
• Cassandra
• Couchbase
• DynamoDB
• Cosmos DB
• Redis

Database Engineering

• Data modeling and schema design.
• Database performance tuning.
• Capacity planning.
• Query optimization.
• Data migration and modernization.

Cloud Platforms

• Hands-on experience with:

• Microsoft Azure
• AWS
• Google Cloud Platform (GCP)

DevOps & Automation

• Terraform
• Ansible
• Python/Shell Scripting
• Git
• CI/CD pipelines
• Docker
• Kubernetes

Monitoring Tools

• Experience with:

• MongoDB Ops Manager
• CloudWatch
• Azure Monitor
• Datadog
• Splunk
• Grafana
• Prometheus

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Preferred Qualifications

• MongoDB Certified Developer or DBA.
• Experience with MongoDB Atlas Migration.
• Experience in Database Modernization programs.
• Knowledge of PostgreSQL, MySQL, SQL Server, or Oracle.
• Experience supporting GenAI, Vector Databases, or AI-driven applications.
• Exposure to Kafka and event-driven architectures.