In this role, you will:
- Platform Reliability & System Resilience: Develop, test, and implement infrastructure automation and tooling to maintain 99.95% availability under peak load. Build self-healing capabilities, optimize resource utilization across Kubernetes clusters (GKE), and contribute to platform-wide resilience initiatives
- Database Performance & Operations: Serve as the team’s database expert, diagnosing and resolving performance issues across Cloud Spanner, PlanetScale MySQL, and BigQuery. Conduct query analysis, implement indexing strategies, and optimize connection pooling to maintain sub-100ms p99 latency
- Caching & Data Access Layer: Design and implement caching strategies using Memorystore (Redis/Memcached). Build high-volume connection management systems (in Go or Python) that efficiently handle database and cache access patterns under sustained load
- Infrastructure as Code & Automation: Manage platform infrastructure using Terraform and Kubernetes. Build automation that improves developer velocity, reduces MTTR, and enables safe, self-service infrastructure operations
- Observability & Operational Excellence: Design and deploy instrumentation within Datadog for monitoring databases, caches, and platform services. Use post-incident analyses (e.g., Jeli) to reduce operational toil and improve service reliability
- Architectural Consulting & Standards: Partner with Product Engineering teams to review designs, define SLOs, optimize data access patterns, and ensure new services are resilient and operable before production deployment
What you bring to the table:
- Strong software engineering foundation — you write production-quality code, design scalable systems, and can reason about distributed systems tradeoffs
- 5–8 years of hands-on database engineering experience in production environments handling significant scale (thousands of RPS or more).
- Deep MySQL expertise (replication, sharding, query optimization, connection management); PlanetScale experience a plus
- Multi-database proficiency with Cloud Spanner, Postgres, and/or BigQuery
- Production experience with in-memory caches (Redis, Memcached, or Valkey)
- Kubernetes (GKE preferred) and Terraform experience for infrastructure as code
- Strong coding skills in Python or Go for automation, tooling, and platform services
- Hands-on experience with GCP database services (Cloud Spanner, Cloud SQL, Memorystore, BigQuery) and monitoring platforms like Datadog
- Strong understanding of backup/recovery, HA patterns, and incident response
Bonus points if you have:
- Experience with Vitess or PlanetScale MySQL
- Knowledge of Istio service mesh and database connection management patterns
- Experience with data streaming platforms (Kafka, Pub/Sub)
Compensation, Benefits & Perks
- Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $196,320 – $268,100, depending on location and experience, as well as company stock options
- Collaborate with your manager and team to create a healthy work-life balance
- 20 vacation days that we expect you to take!
- Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
- Employer-sponsored 401(k) plan with company match
- Access to LinkedIn Learning and other resources to support professional growth
- Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
- 40 hours of annual paid time off to participate in volunteer programs of choice
Top Skills
What We Do
Quizlet is a leading consumer learning brand that builds learning tools to inspire and empower students and teachers. Our team is already supporting a user base of over 60 million active users a month. We're also among the top 20 U.S. websites and top education apps for iOS and Android - and it's only the beginning. We’re a fast-growing Series C startup, valued at $1 Billion and backed by Union Square Ventures, Costanoa Venture Capital, Icon Ventures, Owl Ventures, Altos Ventures and General Atlantic.
With our massive reach and focus on delivering high-quality innovative learning tools, we're having a major global impact on education.








