Observability Tech Lead
$160,000–$200,000 year
HybridSomerville, Massachusetts, United States
Job Summary
Mentor engineering teams on observability best practices, SLIs/SLOs, and reliability culture while contributing to triage and remediation processes. Perform incident response and debug production issues across the entire stack, designing and maintaining core infrastructure and tooling for TS/Go services on Kubernetes. Instrument distributed systems using OpenTelemetry and manage metrics pipelines with Prometheus at scale, leveraging experience with Loki, Grafana, and time-series data. This role sits within Tulip's engineering organization, collaborating with Edge, DevOps, and Hardware teams to drive digital transformation in industrial environments through AI-native frontline operations solutions.
Required Qualifications
- 5+ years of experience working with open source Observability tools (e.g. Loki, Grafana, Tempo, Mimir stack)
- Hands-on experience instrumenting distributed systems using OpenTelemetry and managing metrics pipelines with Prometheus at scale
- Direct experience developing and distributing Claude Skills, Gemini Gems, or any other generic AI processes and are able to iterate on their efficacy
- Experience working with time-series data, ideally using promQL
- You can reason about systems at scale: their edge cases, failure modes, and life cycles across
- You know what a good SLA looks like, and can teach others how to spot one
- You can communicate as well as you can code
- You regularly keep up with the newest AI advancements in the realm of Observability & Monitoring
- You're excited about setting the technical agenda and coming up with novel, broad ideas
- You understand the value of discussion and work best in a team that champions clear and frequent communication
- TS and Go Services running on Kubernetes
- MongoDB and PostGres DBs
- Grafana, Loki, Mimir, Tempo, Alloy, Prometheus & OpenTelemetry Observability tooling
Desired Qualifications
- Experience working with time-series data, ideally using promQL
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