Staff Software Engineer

Category: Information Technology Location: San Francisco Job ID: 16684 Date Posted: February 1st, 2019

Title: Senior Software Engineer

Duration: 6 month term, possible conversion

Location: San Francisco

Notes: 10+ yrs of experience and 3+ yrs of Kafka or similar streaming technologies to build at scale. Responsible for their own deployments. 

Senior Software Engineer

The mission of the Observability Team is to provide tools to allow other teams to visualize, analyze, monitor, and alert on the performance, integrity, and security of our systems and applications – and moreover, to provide insight at the granularity of a single component as well as at a multi-system level. We are looking for a Staff or Senior Software Engineer to help design and build an integrated, context-aware Observability platform the provides our Engineering, Site Operations, and Security teams with real-time monitoring, alerting, and anomaly detection. 

Responsibilities include prototyping new Observability technologies; understanding our stakeholders’ needs; collaborating with other engineers and teams; leading software and system design discussions; delivering high quality, well-tested software; and supporting the 24/7/365 operation of our Observability system.  Our ideal candidate is self-aware; embraces learning, collaboration, and innovation; and is comfortable with (or interested in) about 30% devops time in setting up and maintaining new systems. 


  • Design and build our system – one system to rule them all
  • Research and prototype new  technologies and platforms including devops work
  • Design novel ways to integrate metrics, tracing, and logging into a single unified platform
  • Detect anomalies using machine learning
  • Apply best practices to build a highly available, high volume system


  • Strong fundamentals in Computer Science
  • 4+ years of professional experience in platform or server-side engineering (Scala, TypeScript, Node.js, and Go are pluses)
  • 2+ years of devops experience at scale
  • Strong teamwork and interpersonal skills
  • Ability to mentor other software engineers
  • Curiosity and creativity

Experience using several of the following:

  • Linux (CentOS, RHEL)
  • Proxies (e.g. Nginx)
  • Containers, Orchestration (e.g. Docker, Kubernetes)
  • Cloud (GCP, AWS)
  • Data streaming (e.g. Kafka, Akka Streams, Google Pub/Sub, Amazon Kinesis)
  • Time-series databases (e.g. InfluxDB, OpenTSDB)
  • Metrics collectors (e.g. Telegraf, Statsd, Collectd)
  • Log management (e.g. Splunk)
  • Distributed tracing (e.g. Zipkin)
  • Anomaly detection, machine learning

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