Staff Software Engineer (Observability)
Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Sep 25, 2026. Pinterest scores B on the Alion truth index.
Join Pinterest as a Staff Software Engineer on the Observability team. In this role, you will design and build infrastructure and tools for visibility into Pinterest's large-scale distributed systems. You will define and execute the observability roadmap, architect and scale distributed observability infrastructure, and establish observability standards across the organization. You will also mentor engineers, lead architectural reviews, and collaborate with cross-functional teams. The ideal candidate has a strong background in data engineering, observability domain knowledge, and a product mindset.
Missions
- Definir y ejecutar la hoja de ruta de la observabilidad, tratándola como un producto. Comprender las necesidades del equipo de ingeniería y traducirlas en soluciones técnicas con un impacto medible.
- Arquitectar, construir y escalar la infraestructura de observabilidad distribuida (métricas, registros, trazas) para manejar volúmenes masivos en los sistemas distribuidos de Pinterest.
- Establecer estándares y patrones de observabilidad en toda la organización, facilitando a los equipos la instrumentación de sus servicios y la obtención de información procesable.
Profil recherché
- Experience with machine learning or anomaly detection applied to observability use cases- 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 OpenTelemetry, Prometheus, Grafana, or similar technologies
- Track record of driving adoption of internal platforms through excellent documentation, UX, and developer advocacy
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience
- Contributions to open-source observability projects, a plus
- 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
- Familiarity with cloud-native architectures and technologies (Kubernetes, service mesh, etc.)
- Systems Thinking: Ability to see the big picture while managing complex technical details, balancing trade-offs between cost, performance, and reliability
- Programming Proficiency: Expert-level coding skills in languages like Java, Python, Go, or Scala with ability to write production-quality code
- Distributed Systems Expertise: 7+ years of experience designing and operating large-scale distributed systems with deep understanding of consistency, availability, scalability, and failure modes
- Strong communication skills with ability to influence stakeholders at all levels
- Experience building observability platforms from the ground up or significantly scaling existing solutions