220K–362K USD / year
Senior Engineering Manager, Observability Engineering
Engineering managerRemote — United States
Published on 2026-10-22
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About this role
Lead the engineering function responsible for Temporal’s internal telemetry platform and customer-facing observability features. Own the roadmap, team development, operational reliability, and cost economics of observability across a multi-tenant, multi-cloud service.
About the company
Temporal is a durable execution platform for running reliable workflows and long-running business processes. It helps engineering teams build fault-tolerant applications without custom state machines.
The team
Observability Engineering, within Engineering, Infrastructure, and DevProd.
Stack
OpenTelemetryPrometheusMimirThanosCortexGrafanaLokiTempo
What you'll do
- Set the observability roadmap and guide build, buy, and open-source decisions.
- Hire, coach, and lead a high-ownership engineering team.
- Own telemetry ingestion, storage, querying, and visualization across a multi-tenant, multi-cloud fleet.
- Lead alerting, incident response tooling, on-call sustainability, and reliability improvements.
- Partner with Product and SDK teams to improve customer-facing metrics, traces, and workflow diagnostics.
- Manage observability costs, capacity, cardinality budgets, and vendor relationships.
- Align Engineering, Product, Security, and Support on shared outcomes.
What we're looking for
- 15+ years in software or infrastructure engineering, including 7+ years of people management.
- Experience leading production observability, monitoring, or telemetry platforms at scale.
- Strong distributed-systems expertise and experience operating multi-tenant infrastructure.
- Experience with hiring, performance management, and developing engineers.
- Knowledge of metrics, logs, traces, profiling, alerting, and their tradeoffs at scale.
- Understanding of cardinality control, retention, downsampling, query performance, and hot/cold storage.
- Experience with SLOs, on-call, incident management, and postmortem-driven improvement.
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
Nice to have
- Experience applying AI/LLMs to incident triage, anomaly detection, or incident summaries.
- Deep OpenTelemetry experience, including collector architecture and instrumentation strategy.
- Experience with open-source observability tools such as Prometheus, Grafana, Loki, Tempo, or ClickHouse.
- Experience building observability products for external developers.
- Kubernetes internals and multi-cloud delivery experience.
- Vendor consolidation or observability platform migration experience.
- Developer experience or engineering productivity background.