Software Engineer - Insights

PlanetScaleSan Francisco, CA
13d$120,000 - $290,000

About The Position

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. You're someone who deeply understands the challenges developers face when debugging database performance issues. You've built observability tooling before and have strong opinions about what makes telemetry data useful versus overwhelming. You enjoy wearing many hats and get energized by working on diverse problems across the stack. You ship quickly and iterate based on feedback. You collaborate effectively with engineers in different domains. You're excited about leveraging AI tools to move faster. You make pragmatic technical decisions and can work independently with minimal direction. We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Software Engineer, you'll be at the core of building the platform that powers world-class apps used by hundreds of millions of users worldwide. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

Requirements

  • 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 Haves

  • 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

Responsibilities

  • 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

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

51-100 employees

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