For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet’s Observability Engineering team owns how the company sees itself: the collection, modeling, storage, and analysis of metrics, logs, distributed traces, and events across a global, multi-region infrastructure. As a Senior Software Engineer I on this team, you will be hands-on-keyboard building that platform (instrumentation libraries, telemetry pipelines, SLO and alerting systems, dashboards as code), and you will be the engineer who connects it to everything around it. Observability only pays off when signals flow into the systems where engineers actually work: CI/CD, the service catalog, incident management, ticketing, chat, and the automated remediation that closes the loop without waking anyone up. We run observability as an internal product, and the engineers of Smartsheet are its users.
That means published interfaces, versioned client libraries, honest deprecation paths, and SLOs on the platform itself. It also means we measure ourselves on adoption rather than on components shipped: a beautifully engineered tracing pipeline that three teams use is a failure. You will own a slice of that product end to end, including the golden path that makes correct instrumentation the easy choice, the documentation and hands-on sessions that get teams there, and the numbers that tell you which part to fix next. This is a build role, not a configure role, and it is engineering first. You will write the services, the integrations, and the automation that turn a collection of separate tools into one coherent platform, and you will own the architecture decisions that make it hold up as it grows. Where tooling and teaching compete for the same problem, we prefer the tool: a CI check that rejects an unlabeled metric works for every team forever, while a workshop works for the people in the room. You will report to the Team Lead, Observability Engineering, and partner closely with the Principal Engineer setting telemetry data platform direction.
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