Temporal Technologies - Senior Engineering Manager, Observability Engineering
Requirements
• 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. • Live-site reliability craft: SLA/SLO definition, on-call, incident management, and postmortem-driven continuous improvement. • Ability to review and raise the bar on technical artifacts (design docs, code reviews) across a distributed-systems codebase. • 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.
Responsibilities
• Observability roadmap: Own the team’s technical roadmap and delivery, aligned with broader engineering priorities. Evaluate build, buy, and open-source options, balancing reliability, customer needs, and cost. • Observability roadmap: • Technical leadership: Lead, hire, and grow a high-ownership team of engineers. Guide technical decisions through design and code reviews. Coach engineers, help them grow, and clear the friction that slows them down. • Technical leadership: • Platform ownership: Own the ingestion, storage, query, and visualization path for high-cardinality telemetry across a multi-tenant, multi-cloud fleet. Enable self-serve capabilities to support a growing Engineering organization. • Platform ownership: • Operational excellence: Own alerting and incident response tooling end to end. Drive the detection quality, routing, and clear, actionable runbooks that make on-call sustainable, and turn incident reviews into lasting reliability improvements. • Operational excellence: • Customer-facing observability: Partner with Product and SDK teams on the telemetry Temporal exposes to customers: metrics, traces, and workflow-level diagnostics. Work directly with design-partner customers and integrate what you learn into the roadmap. • Customer-facing observability: • Cost, capacity & economics: Own the unit economics of observability: cost per ingested series, per query, per namespace. Set cardinality budgets, drive consolidation where tool sprawl has crept in, and negotiate and manage vendor relationships against clear value criteria. • Cost, capacity & economics: • Partner with Engineering, Product, Security, and Support to resolve competing priorities and deliver shared outcomes. Explain technical tradeoffs and risks clearly to senior leaders and non-specialist partners. • Partner with Engineering, Product, Security, and Support
Benefits
• Tier 1Salary $276K – $362K • Offers Equity • Tier 2Salary $248K – $326K • Offers Equity • Tier 3Salary $220K – $289K • Offers Equity
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