MongoDB Expert

Position: MongoDB Expert
Location: Remote, USA
Employment Type: Full-Time
Reports To: Founder

We re seeking a hands-on MongoDB Expert to own all MongoDB-related tasks for our security-focused startup. You ll design, develop, and maintain scalable, secure MongoDB databases to support mission-critical applications.
Key Responsibilities

• Database Design & Development:
• Build and optimize MongoDB schemas, queries, and indexes for high-performance applications.
• Manage collections for structured and unstructured data.
• Administration & Maintenance:
• Configure and maintain MongoDB clusters (self-managed or Atlas) on cloud platforms (AWS, Azure, Google Cloud Platform).
• Ensure high availability with replication, sharding, and failover.
• Security & Compliance:
• Implement MongoDB security features (RBAC, encryption, auditing) and ensure compliance (SOC 2, GDPR).
• Conduct security audits to protect sensitive data.
• Performance Optimization:
• Tune queries and scale deployments to handle high-throughput workloads.
• Monitor and resolve performance issues using MongoDB tools.
• Collaboration:
• Partner with engineering and security teams to integrate MongoDB solutions.
• Document processes and share best practices.

Required Qualifications

• 5+ years of hands-on MongoDB experience in production environments.
• Expertise in MongoDB schema design, querying, replication, sharding, and security.
• Strong knowledge of database security and compliance (e.g., SOC 2, GDPR).
• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and MongoDB Atlas.
• Proficiency in a scripting language (e.g., Python, JavaScript).
• Strong problem-solving and communication skills for a fast-paced startup.

Preferred Qualifications

• MongoDB certifications .
• Experience with other NoSQL databases or cybersecurity applications.
• Familiarity with DevOps tools (Docker, Kubernetes, Terraform).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Position: MongoDB Expert
Location: Remote, USA
Employment Type: Full-Time
Reports To: Founder

We re seeking a hands-on MongoDB Expert to own all MongoDB-related tasks for our security-focused startup. You ll design, develop, and maintain scalable, secure MongoDB databases to support mission-critical applications.
Key Responsibilities

• Database Design & Development:
• Build and optimize MongoDB schemas, queries, and indexes for high-performance applications.
• Manage collections for structured and unstructured data.
• Administration & Maintenance:
• Configure and maintain MongoDB clusters (self-managed or Atlas) on cloud platforms (AWS, Azure, Google Cloud Platform).
• Ensure high availability with replication, sharding, and failover.
• Security & Compliance:
• Implement MongoDB security features (RBAC, encryption, auditing) and ensure compliance (SOC 2, GDPR).
• Conduct security audits to protect sensitive data.
• Performance Optimization:
• Tune queries and scale deployments to handle high-throughput workloads.
• Monitor and resolve performance issues using MongoDB tools.
• Collaboration:
• Partner with engineering and security teams to integrate MongoDB solutions.
• Document processes and share best practices.

Required Qualifications

• 5+ years of hands-on MongoDB experience in production environments.
• Expertise in MongoDB schema design, querying, replication, sharding, and security.
• Strong knowledge of database security and compliance (e.g., SOC 2, GDPR).
• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and MongoDB Atlas.
• Proficiency in a scripting language (e.g., Python, JavaScript).
• Strong problem-solving and communication skills for a fast-paced startup.

Preferred Qualifications

• MongoDB certifications .
• Experience with other NoSQL databases or cybersecurity applications.
• Familiarity with DevOps tools (Docker, Kubernetes, Terraform).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.