PlanetScale
database
SoftwareEngineer-Insights
Neural analysis suggests this role is
optimal for Senior candidates.
“Software Engineer - Insights at PlanetScale. Skills: Observability, Monitoring, Telemetry, Data pipelines, Time-series data, Backend development, Full stack development. Instrument Vitess, MySQL and PostgreSQL to emit performance data. Design, implement and maintain our data collection pipeline”
What You'll Achieve.
Build our customer facing database observability product; Helps developers understand their database performance; Provides visibility into query patterns, performance metrics and database health
Industry & Context.
Understand the challenges developers face when debugging database performance issues; Pragmatic technical decisions
What They're Looking For.
Must Have
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, Proficiency with time-series data and aggregation patterns, Backend development experience (Go, Rust, Ruby, Python, or similar), Comfort working across the full stack and switching between different technical domains, Ability to work in a self-directed environment
Nice to Have
Knowledge of ClickHouse, Prometheus, or other time-series databases, Familiarity with streaming data systems (Kafka), Background in database internals or query optimization, Experience with MySQL, PostgreSQL or Vitess
What You'll Do.
MySQL and PostgreSQL to emit performance data
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
Build tools for query analysis
performance profiling
and anomaly detection
Own features end-to-end
from initial design through production deployment and monitoring
How You'll Work.
Team & Collaboration
Collaborate with other teams to define the next generation of database observability features; Partner with customers and support teams to understand real-world observability challenges; Collaborate effectively with engineers in different domains
Full Job Description
PlanetScale 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. What You'll Do 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 What We're Looking For 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 Proficiency with time-series data and aggregation patterns Backend development experience (Go, Rust, Ruby, Python, or similar) Comfort working across the full stack and switching between different technical domains Ability to work in a self-directed environment Nice to Have: Knowledge of ClickHouse, Prometheus, or other time-series databases Familiarity with streaming data systems (Kafka) Background in database internals or query optimization Experience wi
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