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:
o Replica Sets
o Sharding
o MongoDB Atlas
o Aggregation Framework
o Indexing Strategies
o GridFS
o Backup & Recovery
o 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.
Skills Required
- Strong hands-on experience with MongoDB administration
- Deep understanding of MongoDB Replica Sets, sharding, MongoDB Atlas, aggregation framework, indexing strategies, GridFS, backup and recovery, security, and auditing
- Experience with one or more NoSQL technologies, including MongoDB, Cassandra, Couchbase, DynamoDB, Cosmos DB, or Redis
- Experience with data modeling and schema design
- Experience with database performance tuning, capacity planning, query optimization, data migration, and modernization
- Hands-on experience with Microsoft Azure, AWS, and Google Cloud Platform
- Experience with Terraform and Ansible
- Experience with Python or shell scripting
- Experience with Git and CI/CD pipelines
- Experience with Docker and Kubernetes
- Experience with MongoDB Ops Manager, CloudWatch, Azure Monitor, Datadog, Splunk, Grafana, or Prometheus
- MongoDB Certified Developer or DBA certification
- 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
Astreya Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Astreya and has not been reviewed or approved by Astreya.
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Healthcare Strength — Health coverage includes multiple medical plan options plus dental and vision, complemented by FSAs, an EAP, disability and life insurance, and wellness programs. Feedback suggests these offerings provide solid core protection across many roles.
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Wellbeing & Lifestyle Benefits — Client-site amenities at some large tech campuses can add non-cash value such as meals or on-site perks that enhance the day-to-day experience. Wellness Days and access to learning resources and tuition reimbursement further support overall wellbeing.
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Flexible Benefits — Choice among medical plan types and tax-advantaged accounts enables some customization to individual needs. Some roles also offer remote or flexible work, adding practical flexibility to the total package.
Astreya Insights
What We Do
Astreya is the leading IT solutions provider for some of the world's most recognizable and innovative organizations. Our journey started in 2001 in the heart of Silicon Valley and reaches thirty-three countries with over 2200+ IT professionals. We enable businesses to make better decisions, achieve operational efficiency and gain a competitive edge. The Astreya advantage is centered around focus and clear- vision, world-class talent, and innovative technology: Creativity is in our DNA. Our dedicated Software and Service Innovation teams bring best-in-class technology and tools to bear for our clients.
