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Senior Software Engineer (Observability, Slack)
Salesforce · San Francisco, United States
About The Role
Join Slack's Monitoring Infrastructure team as a Senior Software Engineer. You'll develop platforms and tools for telemetry, insights, and observability in Slack production services, focusing on performance and reliability. Your work will involve managing distributed applications and infrastructure, maintaining datasets for performance and system analytics, and building interfaces and backend systems. You'll collaborate with other teams in engineering, product development, and customer experience to provide valuable insights and ensure a positive user experience for Slack customers.
- Construire, maintenir et garantir la livraison en temps voulu de nos pipelines de journaux d'événements à fort volume.
- Créer des bibliothèques, des outils et de l'automatisation pour aider à garantir que les données d'événements critiques arrivent au bon endroit.
- Encourager une culture de l'observabilité chez Slack - aider à identifier les zones problématiques et à améliorer la visibilité de nos systèmes.
- You are a strong communicator. Explaining complex technical concepts to designers, support, and other engineers is no problem for you
- You have a deep curiosity about how things work under the hood
- You live for unit tests, code review, design documentation, debugging, and solving problems
- You are motivated by helping others succeed. When things break — and they will — you are eager and able to help fix things. You like thinking of ways to improve efficiency or bring delight to your coworkers
- You also know that the internet is a scary place and understand security concepts deeply and can put them into action to protect us and our users
- You enjoy helping onboard new team members, mentoring, and teaching others
- You care about improving the performance of systems through data-informed decisions
- Experience with Elasticsearch, Logstash, and Kibana
- Passionate about data visualization, graphing, and maximizing signal versus noise
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