Software Engineer, Observability
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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 container orchestration (Kubernetes).
- Deep hands-on knowledge of tools such as Prometheus, Grafana, Datadog, OpenTelemetry, ELK Stack, Loki, or ClickHouse.
- Comfort with at least one programming language (e.g., Go, Python, Java) to build and maintain observability tooling.
- Experience mentoring engineers and collaborating across multiple teams.
- Strong communication skills to effectively present technical trade-offs and architectural plans.
- Eagerness to own high-impact initiatives from design through production and maintenance.
- Proven ability to balance short-term fixes with long-term strategic vision.
- A passion for enabling all of Airtable’s engineering organization through reliable, intuitive observability tools.
- Commitment to measuring success by the velocity and confidence with which product teams can ship.
Responsibilities
- Architect and scale core observability
- Lead the design and evolution of logging, metrics, and tracing pipelines to handle massive data volumes
- Evaluate and integrate new technologies (e.g., OpenTelemetry, ClickHouse, ELK stack) that enhance Airtable’s observability posture
- Guide and mentor a growing team of infrastructure engineers; share best practices in distributed tracing, monitoring, and logging
- Define and uphold coding standards and operational excellence across the org
- 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 performance and cost of large-scale data pipelines and storage
- Shape the observability roadmap, prioritizing initiatives like improved tracing coverage, advanced monitoring dashboards, and next-gen logging pipelines
- Continuously explore emerging trends to keep Airtable’s monitoring capabilities at the cutting edge
- Extend observability to LLM and AI features
- 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; connect these signals to tracing for prompt lineage
- Partner with AI and Product teams to define SLOs for AI features and close the feedback loop from incidents to model and prompt improvements
Benefits
- High ImpactLead the modernization of Airtable’s observability stack, influencing how every engineer monitors and debugs mission-critical systems.
- High Impact
- Room to InnovateDefine and execute on a multi-year roadmap, introducing advanced logging, tracing, and metrics solutions that shape the entire developer experience.
- Room to Innovate
- Career GrowthAs a Sr Software engineer, you’ll drive major projects across engineering organization to build platform and services for solving observability problems
- Career Growth
- Collaborative CultureWork alongside talented platform engineers, product teams, and leadership to make data-driven decisions and ensure platform reliability.
- Collaborative Culture
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