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Software Engineer, Observability

2 weeks, 2 days ago
United States
Full-time
Lead
Software Engineer
Software Development
ClickHouse Datadog ELK Stack Go Grafana Java Kubernetes OpenTelemetry Prometheus Python
Apply Now
Airtable

Airtable

Airtable is a low-code platform for building next-gen apps, organizing data, and streamlining workflows with AI. It combines the speed of a spreadsheet with the power of a database, offering collaborative features and templates for various needs.

IT Services
1K-5K
Founded 2012
$1400M raised
View All Jobs 24

Description

  • Lead the design and evolution of logging, metrics, and tracing pipelines to handle massive data volumes.
  • Evaluate and integrate observability technologies such as OpenTelemetry, ClickHouse, and the ELK stack.
  • Mentor a growing team of infrastructure engineers and share best practices in tracing, monitoring, and logging.
  • Define and uphold coding standards and operational excellence across the organization.
  • Partner with Deploy Infrastructure, Service Orchestration, and Product teams to embed observability throughout the development lifecycle.
  • Align infrastructure decisions with business goals to detect issues before they impact customers.
  • Own end-to-end reliability for observability tools and establish SLAs, SLOs, and error budgets.
  • Optimize the performance and cost of large-scale data pipelines and storage.
  • Shape the observability roadmap, including tracing coverage, monitoring dashboards, and logging pipeline improvements.
  • Instrument prompts, model calls, and RAG pipelines to capture latency, reliability, cost, and safety signals.
  • Design online and offline evaluation loops for LLM quality, including canary analysis and drift detection.
  • Build dashboards and alerts for token usage, error rates, guardrail triggers, and model performance, and connect them to tracing for prompt lineage.
  • Partner with AI and Product teams to define SLOs for AI features and improve models and prompts based on incidents.

Requirements

  • 6+ years of software engineering experience, with 3+ years focused on observability or infrastructure at scale.
  • Demonstrated success implementing and running production-grade logging, metrics, or tracing systems.
  • Proficiency in distributed systems concepts, data streaming pipelines, and Kubernetes.
  • Deep hands-on experience with tools such as Prometheus, Grafana, Datadog, OpenTelemetry, ELK Stack, Loki, or ClickHouse.
  • Comfort with at least one programming language such as Go, Python, or Java.
  • Experience mentoring engineers and collaborating across multiple teams.
  • Strong communication skills for presenting technical trade-offs and architectural plans.
  • Ability to own high-impact initiatives from design through production and maintenance.
  • Ability to balance short-term fixes with long-term strategic vision.
  • Experience with observability at scale is preferred.
  • Familiarity with LLM observability, prompt lineage, or AI feature monitoring is preferred.

Benefits

  • Base salary range of $187,000 to $260,000 USD for San Francisco Bay Area, Seattle, New York City, and Los Angeles locations.
  • Total compensation package includes benefits.
  • Total compensation package may include restricted stock units.
  • Total compensation package may include incentive compensation.
  • Equal opportunity employer with accommodations available for candidates who need assistance during the application or interview process.

Interested in this position?

Apply directly on the company website

Apply Now

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