Job Description

Fireflies.ai is an AI voice assistant that automatically takes notes, makes meetings searchable, and delivers key insights from conversations. We are growing rapidly across tens of thousands of organizations and growing our footprint inside Fortune 500 companies. Chances are you've seen Fireflies in one of your meetings! Fireflies integrates with all the major video-conferencing platforms including Zoom, Google Meet, Teams, Webex, and more.

We are looking for an experienced Database Engineer to join our growing tech team. This role will focus on managing, optimizing, and scaling our database infrastructure to support our growing user base and increasingly complex data demands. As a Database Engineer, you’ll play a critical role in ensuring data reliability, availability, and efficiency for Fireflies' core platform.

Responsibilities

• Design, implement, and maintain scalable database systems that support Fireflies.ai’s web and AI-based applications.
• Optimize database performance, monitoring, and tuning, particularly with high-volume, real-time data transactions.
• Collaborate closely with backend engineers, data scientists, and DevOps teams to implement data storage solutions aligned with business goals.
• Develop and maintain backup, restore, and disaster recovery plans.
• Ensure database security by implementing best practices for data protection, access control, and auditing.
• Diagnose database-related issues, troubleshoot system performance, and prevent data bottlenecks.
• Automate database processes to streamline deployment and reduce manual intervention.
• Document database structures, procedures, and tools to maintain a cohesive development environment.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 3+ years of experience in database engineering, preferably with a SaaS product.
• Expertise in SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).
• Familiarity with cloud-based database management (e.g., AWS RDS, Google Cloud SQL).
• Experience with high-availability database design, sharding, and replication.
• Strong understanding of database security best practices.
• Problem-solving mindset with a focus on performance and scalability.
• Strong communication skills and experience working in a cross-functional team.

Preferred Qualifications

• Experience in AI-driven SaaS or similar high-growth tech environments.
• Proficiency in database management automation tools.
• Exposure to data warehousing, ETL processes, and big data frameworks.

Values that are important to us:

• You should be a great communicator and culture maintainer.
  • Take a look at our culture document
• You're data-driven and customer-focused
• You value fast & incremental engineering cycles
• You maintain design excellence and minimize complexity
• You measure your results & automate when possible
• You get 10% better at something every week
• You have an internal compass and take accountability & initiative
• We value overcommunication, candid feedback and a results-driven culture