Software Engineer - Insights
PlanetScale · Remote (United States) · Engineering
About this role
PlanetScale is hiring a mid-level Software Engineer as a remote position. The posting calls out experience with Python, Rust, Ruby, PostgreSQL. Compensation is listed at $120,000–$290,000 per year.
- Role
- Software Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Remote (United States)
- Work mode
- Remote
- Department
- Engineering
More roles at PlanetScale
Job description
from PlanetScale careersPlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads — without sacrificing developer experience.
PlanetScale is seeking an engineer to join our Insights team to help build our customer facing database observability product. Insights helps developers understand their database performance and provides visibility into query patterns, performance metrics and database health across both Vitess/MySQL and PostgreSQL systems.
- Instrument Vitess, MySQL and PostgreSQL to emit performance data
- Design, implement and maintain our data collection pipeline
- Create intuitive dashboards and visualizations that surface actionable database insights
- Develop APIs and integrations that expose insights data to customers
- Collaborate with other teams to define the next generation of database observability features
- Build tools for query analysis, performance profiling, and anomaly detection
- Own features end-to-end, from initial design through production deployment and monitoring
- Partner with customers and support teams to understand real-world observability challenges
Required:
- 5+ years of software engineering experience
- Experience building observability, monitoring, or telemetry products (APM, logs, metrics, traces, etc.)
- Experience with distributed systems and data pipelines