Software Engineer - Insights

PlanetscalePlanetscale·Remote(San Francisco Bay Area or Remote)
Software Development

WFA Digital Insight

As demand for database observability grows, companies like Planetscale are revolutionizing the space. With 5+ years of software engineering experience and expertise in distributed systems, candidates can stand out in this remote role. Given the 25% rise in remote tech jobs, understanding cloud-based database systems is crucial. Before applying, consider highlighting your experience with time-series data and aggregation patterns.

Job Description

About the Role

Planetscale is seeking a Software Engineer to join their Insights team, helping build customer-facing database observability products. The company's platform offers Postgres and Vitess clusters, and the Insights product provides visibility into query patterns, performance metrics, and database health.

Responsibilities

  • Instrument Vitess, MySQL, and PostgreSQL to emit performance data
  • Design, implement, and maintain the data collection pipeline
  • Create intuitive dashboards and visualizations for actionable database insights
  • Develop APIs and integrations to expose insights data to customers
  • Collaborate with teams to define next-generation database observability features

Requirements

  • 5+ years of software engineering experience
  • Experience with observability, monitoring, or telemetry products
  • Distributed systems and data pipelines experience
  • Proficiency with time-series data and aggregation patterns
  • Backend development experience (Go, Rust, Ruby, Python, or similar)

Nice to Have

  • Knowledge of ClickHouse

How to Stand Out

  • Highlight your experience with database clustering systems like Vitess for MySQL to stand out.
  • Showcase proficiency in multiple programming languages, including Go, Rust, or Python, to demonstrate versatility.
  • Prepare to discuss your approach to handling large-scale data workloads and optimizing database performance.
  • Be ready to walk through your experience with time-series data and aggregation patterns, providing specific examples.
  • Emphasize your ability to work in a self-directed environment and collaborate across different technical domains.

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