Senior Software Engineer (python/go, infrastructure)

About Us: Sauce Labs is the leading provider of continuous test and error reporting solutions that give companies the confidence to develop, deliver and update high quality software at speed. The Sauce Labs Continuous Testing Cloud identifies quality signals in development and production, accelerating the ability to release and update web and mobile applications that look, function and perform exactly as they should on every browser, operating system and device, every single time. Sauce Labs is a privately held company funded by TPG and Riverwood Capital. The Role: Sauce Labs seeks a Senior Software Engineer to join the Virtual Device Cloud team, which builds and operates the infrastructure that hosts remote iOS, macOS, Windows, and Linux devices at scale for automated app and browser testing. This is not a narrow specialist role. We need someone who can move across the whole stack of a distributed system: understand how the pieces fit together, make the system observable enough that we know what's working and can diagnose what isn't, write and structure code with clear boundaries and the right things encapsulated, and be just as comfortable SSHing into a fleet machine to dig into a live problem as designing the system on a whiteboard. You'll join the Virtual Device Cloud team, which has deep, concentrated strength in macOS, CoreSimulator and APFS internals, and work closely with the Product Manager and with the Test Orchestration and Cloud teams. Your job is to improve testing discipline and cross-platform observability, and to raise delivery cadence, correctness, and visibility across the fleet. Responsibilities: Lead by example - set the team’s standard for testing, observability and delivery through code review and pairing, and bring others along. Own the device lifecycle - design and build the services this team owns across the whole device lifecycle, from the image a device boots to its teardown. That covers readiness, session lifecycle and the fleet definitions that plug simulators and VMs into our orchestration layer, whether the fleet runs as pods on Kubernetes with Agones or as VMs on bare-metal and cloud hosts. Automate build and release - bring image, browser and payload releases onto CI/CD with automated checks, so a release is a pipeline run rather than a manual procedure. Ship in Go or Python on standard, repeatable deployment paths. Make the fleet observable - build and use the observability tooling that answers "is it working as intended, and if not, why not" across the fleet and the image build pipeline, including guests and VMs that fail silently before their payload even starts. Fix lifecycle problems for good - root-cause and fix recurring lifecycle regressions with tests and automated release checks, so the same bug does not ship twice. Make devices boot and recycle faster - measure and reduce boot, ready and teardown time end to end, and put image and side-disk footprint on a budget. Work across…