Database Reliability Engineer; DBRE

Overview

We are seeking a Database Reliability Engineer (DBRE) who sits at the crossroads of Mongo

DB mastery and infrastructure automation. Whether you're a Mongo

DB DBA who codes or a Dev Ops/SRE engineer with deep Mongo

DB experience, this role is for someone who’s passionate about building scalable, resilient, and high-performance data systems. In this role, you’ll help us evolve our database infrastructure using modern Dev Ops principles—automation-first, performance-driven, and cloud-ready. You’ll collaborate with developers, SREs, and Dev Ops engineers to integrate Mongo

DB into our CI/CD pipelines and ensure it runs smoothly at scale.

You bring deep expertise in Mongo

DB, including index management, query plan analysis, and performance tuning using CRUD operations and the Aggregation Framework. You’re well-versed in replication strategies, scaling techniques (both vertical and horizontal), and disaster recovery planning. You’ve worked hands-on with Mongo

DB versions 6.0, 7.0, and 8.0 in production environments, and you understand how to ensure data integrity and system reliability. You have strong experience automating database operations using tools like Python or Ansible, and you’re comfortable building resilient systems through scripting and infrastructure-as-code. In addition to your technical strengths, you have excellent communication skills—written, verbal, and presentation—and you collaborate effectively across SRE, Dev Ops, and engineering teams.

You’re analytical, adaptable, and confident navigating complex, unexpected challenges to deliver results.

• Design, maintain, and scale high-performance Mongo
  
  DB clusters (6.x–8.x) in production environments
• Implement monitoring, alerting, and automated remediation using Python, Ansible, or similar tooling
• Partner with SREs and Dev Ops to integrate Mongo
  
  DB into CI/CD workflows and infrastructure-as-code
• Optimize performance through query analysis, index design, and resource tuning
• Plan and execute upgrades, migrations, sharding strategies, and capacity management
• Drive backup and disaster recovery planning aligned with security best practices

• Deep experience configuring, tuning, and operating Mongo
  
  DB in production (including versions 6.0, 7.0, and 8.0)
• Strong knowledge of Mongo
  
  DB indexing, query plans, replication, sharding, and aggregation framework
• Proficiency in database automation and scripting, ideally using Python, Ansible, or similar tools
• Solid understanding of disaster recovery, scaling strategies, and data integrity practices
• Experience troubleshooting performance issues and implementing query/index optimization
• Familiarity with CI/CD workflows and infrastructure-as-code concepts
• Excellent collaboration and communication skills—you work well with cross-functional teams and can explain complex topics clearly
• A problem-solver mindset with the ability to adapt and lead through ambiguity or unexpected technical challenges

• Experience with Elastic
• Experience with networking and virtualization/containers
• Experience with troubleshooting hardware issues
• Experience with Mongo
  
  DB security best practices

• A High school Diploma or equivalent is required
• A Bachelor's degree in software development, database programming, or computer engineering is preferred
• 5+ years in an SRE position managing database workloads (preferably Mongo
  
  DB workloads) or 5+ years in a developer position with advanced Mongo
  
  DB knowledge

• Moderate levels of stress may occur at times.
• It may require long periods of sitting and viewing a computer monitor
• No physical demands are required.
• On-Call Rotation is required with the possibility during holidays as required by the business for 24/7 support.
• Occasional Travel, less than 10%

• This role is not sponsorship eligible.
• Candidates need to be legally allowed to work in the US for any employer

“Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,300/year in our lowest geographic market up to $219,230/year in our highest geographic market. Pay is based on a number of factors including market location…