Staff Software Engineer, Observability

Pinterest

Remote Hybrid

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$177,185–$364,795 / yr
Posted
16 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k
This role $271k
$110k most similar roles pay here $392k

This role pays more than 96% of similar roles. Most pay $142,400–$219,818 — the shaded band above. At the midpoint, this role pays about $271k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 55 open roles on FindRole.

Listed pay typically runs $158,765–$320,320 across 55 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Staff Software Engineer, Observability

We are seeking a Staff Software Engineer to join our Observability team at Pinterest, where you will leverage your expertise in distributed systems and data engineering to build world-class observability solutions. Your responsibilities include defining the observability roadmap, architecting high-performance data pipelines for real-time analysis, establishing standards across the organization, mentoring engineers, and collaborating with cross-functional teams to enhance system reliability and developer productivity. You should have extensive experience in designing large-scale distributed systems, building data pipelines, and working with modern observability tools like OpenTelemetry, Prometheus, and Grafana. Expert-level coding skills in languages such as Java, Python, Go, or Scala are essential, along with a strong background in cloud-native technologies including Kubernetes. This role requires hands-on experience in creating observability platforms from scratch and driving their adoption through excellent documentation and developer advocacy.

What you'll do

  • Define and execute the observability roadmap to address engineering team needs with measurable impact.
  • Architect and build distributed observability infrastructure to handle massive data volumes at Pinterest scale.
  • Develop high-performance data pipelines for real-time and historical telemetry analysis across Pinterest's systems.
  • Establish observability standards and patterns to simplify instrumentation and gain actionable insights for teams.
  • Mentor engineers, lead architectural reviews, and influence technical decisions to enhance system reliability and performance.
  • Evaluate and adopt cutting-edge observability tools and techniques to keep Pinterest at the forefront of technology.

What we're looking for

  • 7+ years of experience designing and operating large-scale distributed systems.
  • Expert-level coding skills in Java, Python, Go, or Scala with production-quality code writing ability.
  • Strong background in data engineering including building pipelines and working with time-series databases at scale.
  • Hands-on experience with modern observability tools like OpenTelemetry, Prometheus, and Grafana.
  • Experience building observability platforms from scratch or significantly scaling existing solutions.
  • Familiarity with cloud-native architectures such as Kubernetes and service mesh technologies.

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