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Software Engineer, Observability

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Pinterest
Full Time position
Listed on 2026-02-17
Job specializations:
  • Software Development
    Software Engineer, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer, Observability

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

We're seeking an exceptional Staff Software Engineer to join our Observability team s role combines deep technical expertise in distributed systems and data engineering with a product-oriented mindset to build world-class observability solutions that empower our engineering organization. As a Staff Engineer on the Observability team, you'll be responsible for designing and building the infrastructure and tools that provide visibility into Pinterest's large-scale distributed systems, helping thousands of engineers understand, debug, and optimize their services.

What you’ll do:
  • Define and execute the observability roadmap, treating it as a product. Understand engineering team needs and translate them into technical solutions with measurable impact.
  • Architect, build, and scale distributed observability infrastructure (metrics, logs, traces) to handle massive volumes across Pinterest's distributed systems.
  • Build high-performance data pipelines and storage for real-time and historical telemetry analysis at Pinterest scale.
  • Champion Best Practices:
    Establish observability standards and patterns across the organization, making it easy for teams to instrument their services and gain actionable insights.
  • Technical Leadership:
    Mentor engineers, lead architectural reviews, and influence technical decisions across teams to improve overall system reliability and performance.
  • Cross-functional Collaboration:

    Partner with SRE, Infrastructure, Product Engineering, and other teams to understand pain points and deliver solutions that improve developer productivity and system reliability.
  • Innovation:
    Stay current with observability trends and technologies, evaluating and adopting cutting-edge tools and techniques to keep Pinterest at the forefront.
What we’re looking for:
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Product Mindset:
    Demonstrated ability to work backwards from customer needs —understanding user needs, prioritizing features, measuring success, and iterating based on feedback. Experience building internal platforms or tools with strong adoption.
  • Distributed Systems Expertise: 7+ years of experience designing and operating large-scale distributed systems with deep understanding of consistency, availability, scalability, and failure modes.
  • Data Engineering

    Skills:

    Strong background in building data pipelines, working with time-series databases, columnar storage, stream processing (Kafka, Flink, etc.), and data modeling at scale.
  • Observability Domain Knowledge:
    Hands‑on experience with modern observability tools and practices including metrics, logging, tracing, and profiling. Familiarity with Open Telemetry, Prometheus, Grafana, or similar technologies.
  • Programming Proficiency:
    Expert-level coding skills in languages like Java, Python, Go, or Scala with ability to write production‑quality code.
  • Systems Thinking:
    Ability to see the big picture while managing complex technical details, balancing trade-offs between cost, performance, and reliability.
  • Experience building observability platforms from the ground up or significantly scaling existing solutions.
  • Familiarity with cloud-native architectures and technologies (Kubernetes, service mesh, etc.)
  • Track record of driving adoption of internal platforms through excellent documentation, UX, and developer advocacy.
  • Experience with machine learning or anomaly detection applied to observability use cases.
  • Strong communication skills with ability to influence stakeholders at all levels.
  • Contributions to open-source observability projects, a plus.
In-Office Requirement Statement:
  • W…
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