Staff Software Engineer, Observability & Reliability

Temporal Technologies

Toronto

On-site

CAD 235,000 - 386,000

Full time

20 hours ago
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Job summary

Temporal Technologies is seeking a Staff Software Engineer for the Infrastructure Team, focused on Observability for internal platforms and customer-facing tooling. You will drive end-to-end software development, design scalable systems, and mentor teammates in a mission-critical environment.

You will collaborate across teams to ensure performance, reliability, and actionable insights, contributing to the Temporal ecosystem and shaping how developers monitor and operate at scale.

Qualifications

  • Expert-level knowledge of architecture and services of assigned domain.
  • Strong command over all aspects of the Temporal ecosystem.
  • Deeply understand needs of internal developers and external customers.
  • Experience with observability tooling and distributed systems.

Responsibilities

  • Lead end-to-end software development lifecycle: requirements solicitation, design, implementation, deployment, support and maintenance.
  • Lead feature design, review with stakeholders, iterate to drive consensus.
  • Document design choices and operational knowledge for deployment and management.
  • Provide test and production readiness coverage for unit, integration, and performance.

Skills

Distributed systems
Observability pipelines
Go programming
Kubernetes
SQL
Cloud: AWS/GCP
System architecture
On-call experience
Mentorship

Tools

Prometheus
Grafana
Clickhouse
Loki
Thanos
Kubernetes

Job description

Temporal Technologies is seeking a Staff Software Engineer for the Infrastructure Team, focused on Observability for internal platforms and customer-facing tooling. You will drive end-to-end software development, design scalable systems, and mentor teammates in a mission-critical environment.

You will collaborate across teams to ensure performance, reliability, and actionable insights, contributing to the Temporal ecosystem and shaping how developers monitor and operate at scale.

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