About the job
At Crusoe, we are driven by our mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company, we manage each layer of our technology stack—from electrons to tokens—enabling the world's most ambitious AI workloads. Joining Crusoe means becoming part of a team that is actively building the future.
We are at the forefront of a transformative industrial revolution, where the insatiable demand for AI compute meets the challenge of energy availability. Our energy-first approach not only enhances AI infrastructure but also ensures it's beneficial for the world and accelerates innovation.
We seek passionate, problem-solving teammates who thrive in a fast-paced environment and share our ambitious vision. If you're eager to advance your career alongside experts in energy, manufacturing, data center construction, and cloud services, we want you on our team.
If you're ready to engage in impactful work, assist our clients and partners in enhancing their AI strategies, and contribute to a high-performing collaborative team, we invite you to build with us at Crusoe.
About This Role:
We are looking for a Staff Streaming Software Engineer to become a vital part of our Observability team within the Cloud Infrastructure division. This team is responsible for building and managing real-time data platforms that deliver metrics, logs, traces, and event streams, empowering engineers across the organization to reliably operate Crusoe's AI cloud at scale.
In this position, you will lead the technical direction for our high-throughput streaming systems, influencing architectural decisions and long-term investments throughout the observability stack. You will operate at the nexus of deep technical execution and organizational influence—identifying potential issues before they arise, shaping team approaches to building and managing streaming infrastructure, and collaborating with engineering leaders to align platform strategies with corporate objectives.
This role offers a unique opportunity to define how observability data flows at scale within our rapidly expanding AI cloud and to make a lasting architectural impact on systems that the entire engineering organization relies on.
