Software Engineer, Observability

AirtableAirtable·Remote(San Francisco, CA; New York, NY; Remote (Seattle, WA only))
Software Development
Excel

WFA Digital Insight

As demand for robust observability tools grows, companies like Airtable are seeking skilled engineers to scale their systems. With the rise of remote work, expertise in distributed tracing and monitoring is in high demand. Airtable's commitment to innovation and employee empowerment makes this role particularly interesting. Before applying, candidates should be prepared to showcase their problem-solving skills and experience with large-scale data pipelines.

Job Description

About the Role

Airtable's Observability team ensures engineers have the tools to measure performance, monitor reliability, and debug issues in real time. The team builds logging, metrics, and tracing systems used by nearly every engineering team at Airtable, including LLM observability for AI-powered features.

Responsibilities

  • Lead the design and evolution of logging, metrics, and tracing pipelines
  • Evaluate and integrate new technologies to enhance Airtable's observability posture
  • Guide and mentor a growing team of infrastructure engineers
  • Partner with various teams to embed observability throughout the development lifecycle
  • Own end-to-end reliability for observability tools and establish SLAs, SLOs, and error budgets

Requirements

  • Strong expertise in observability tools and technologies
  • Experience with large-scale data pipelines and storage
  • Ability to guide and mentor a team of engineers

How to Stand Out

  • Tip: Highlight your experience with logging, metrics, and tracing systems, and be prepared to discuss how you've handled scalability issues in previous roles.
  • Showcase your proficiency in evaluating and integrating new technologies to enhance observability.
  • Demonstrate your ability to mentor and guide a team of engineers, emphasizing best practices in distributed tracing, monitoring, and logging.
  • Be prepared to discuss how you align infrastructure decisions with business goals and detect issues before they impact customers.
  • Tip: Consider including examples of how you've optimized performance and cost of large-scale data pipelines and storage in your portfolio or resume.

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