Database Engineer ( Infrastructure team)

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

Perks and benefits :

• Competitive comp
• Work remotely anywhere in your respective country
• Ability to move laterally within a team and grow rapidly
• Paid time off and flexible leave policy
• No boss culture
• Flexible working hours
• LGBTQ+ friendly
• Company Offsites/Virtual Retreats
• Tech reimbursements

About us:

Fireflies were rated by Ramp in 2023 as the top three fastest-growing software vendors based on customer count, along with OpenAI and Midjourney. The company has raised $19 million from top-tier investors, including Canaan, Khosla Ventures, and angels from Slack, Facebook, Dropbox, Amazon, and Salesforce. We are a 100+ global team across 20+ countries. In just the past year, Fireflies has taken notes for over 3 million people and is used by folks across 150,000+ companies.

We are an equal-opportunity employer and strongly value diversity at our company because our team will be stronger with different perspectives and experiences. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.