The opportunity
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are…
What you'll do
Samsara is hiring a Senior Software Engineer II to join our Developer: Experience team within the larger Developer Experience organization. We are responsible for the ‘outer-loop’ of the SDLC, with a dotted line to our sister team Dev Agents, who is responsible for the ‘inner-loop’.
We are building an AI-enabled software factory that transforms how Samsara: moves code from pull request to production. We use AI to eliminate repetitive steps, shorten feedback loops, and help engineers spend more time on ensuring intent. Our systems provide AI-assisted PR auto-approvals, risk-aware reviews, and automated workflows that help changes become merge-ready. We are extending that intelligence through CI and CD with AI-assisted deployment checks, production validation, and automatic rollbacks. Our goal is to enable our engineers to scale out their productivity by making the ‘outer-loop’ autonomous while keeping it safe, observable, and reliable by default.
We tackle this ambitious goal from two different angles. First, we ensure our: agents have the most context and their own sandbox to reduce the amount of guessing an agent needs to do in order to reach its result. Second, we ensure production is bulletproof, such that the blast radius of any issue is as minimal as possible. Our north star motto is “Merge and forget”.
Help scale our in-house CI/CD systems to meet the needs of a rapidly more: efficient engineering organization and increasing pull-request throughput.
Reduce tech debt using efficient AI workflows that would otherwise be cost prohibitive in a non-AI workflow.
Design and build deployment safeguards that protect production at scale,: making use of AI to monitor and fix issues.
What they're looking for
- Build the observability, evaluation, and feedback systems used to improve our AI-driven automation.
- Serve as a thought leader for using AI to increase engineering productivity: while maintaining a high bar for safety, quality, and signal over AI-generated slop.
- Redefine the outer loop of the SDLC by designing AI-native workflows that: increase engineering throughput without compromising reliability.
- Push the threshold of what is possible with AI by turning emerging: capabilities into safe, observable, and production-ready engineering systems.
