Qualification

Experience hiringExcellent communication skillsStrong leadership and coachingApplying AI/LLM techniques to triageOpenTelemetry at depth

Required

Proven experience leading engineering teams that build and operate observability, monitoring, or telemetry platforms at scale, with strong operational practices.
Demonstrated success leading engineering teams that build and operate production observability platforms, including hiring, coaching, performance management, and delivery.
15+ years in software and/or infrastructure engineering, including 7+ years of people management, with demonstrated ownership of delivery and live-site outcomes.
Experience hiring, leveling, and performance management.
Strong distributed-systems expertise with the hands-on judgment to guide architecture and execution rather than guide it from a distance.
Experience operating multi-tenant infrastructure that other people's production workloads depend on.
Bachelor's degree in Computer Science or related field, or equivalent practical experience; advanced degree a plus.
Excellent communication skills, with the ability to partner across engineering, product, and leadership and translate customer feedback into a roadmap.
Strong leadership and coaching; ability to grow engineers and build a healthy, accountable, high-ownership team, including through reorgs, acquisitions, or platform migrations.
Set priorities and deliver incremental improvements with incomplete information. Make tradeoffs explicit and adapt plans as customer and operational needs change.
Command of the observability building blocks — metrics, logs, traces, profiling, and alerting and the tradeoffs between them at scale.
Time-series and telemetry data fundamentals: cardinality control, retention and downsampling, query performance, and hot/cold storage tiering.

Preferred

Applying AI/LLM techniques to triage, anomaly detection, or incident summarization, with clear-eyed judgment about where they help and where they don't.
OpenTelemetry at depth: collector architecture, semantic conventions, instrumentation strategy.
The open-source observability stack in production: Prometheus, Mimir/Thanos/Cortex, Grafana, Loki, Tempo, ClickHouse.
Building observability as a product for external developers, not only as internal tooling.
Kubernetes internals and multi-cloud delivery across AWS, GCP, and Azure.
Vendor consolidation or migration programs (commercial APM/SaaS to open-source, or the reverse) with measurable cost and reliability outcomes.
Developer experience or engineering productivity backgrounds - treating internal engineers as customers with a measurable experience.
Prior experience at a developer infrastructure or open-source-based company, where the community is part of the feedback loop.

Senior Engineering Manager, Observability Engineering at Temporal · LumiJobs

Senior Engineering Manager, Observability Engineering

Responsibilities

Qualification

Required

Preferred

Company

Temporal

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