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Fireflies.ai

Database Engineer - Infrastructure Team (Remote)

AI-powered meeting assistant for transcription, summarization, search, and analysis of voice conversations.

engineeringremoteBengaluru, INJakarta, IDIstanbul, TRLagos, NGfull-time

Benefits:

  • Competitive compensation

  • Work remotely from anywhere

  • Opportunities to move laterally within a team and grow rapidly

  • Paid time off and flexible leave policy

  • A "no boss" culture that empowers you to take ownership and initiative for results, with overcommunication, candid feedback and a results-driven culture. Take a look at our [culture document](https://www.notion.so/Culture-Employee-Value-Proposition-780ae904ede24bc792c088c4495f599f?pvs=21). 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. Flexible working hours to fit your lifestyle. LGBTQ+ friendly. Fun international offsite to connect and recharge. Tech reimbursements to support your work

Education Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Experience Requirements:

  • 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

Responsibilities:

  • Design, implement, and maintain scalable database systems that support Fireflies’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

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