The opportunity
Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads.
What you'll do
Grow and develop your team. Manage 4 to 6 engineers directly: 1:1s, career growth, performance, and team health, with the team growing over time.
Own storage and query. Be accountable for the time series and log storage: systems and the query layer on top of them, including how they behave under load and how much they cost to run.
Own delivery. Plan and sequence work across a roadmap that mixes: customer-facing feature work with storage and query infrastructure, and make honest calls early when a plan is at risk.
Set the technical direction for your area. Partner closely with the Staff: engineers who own technical direction across the platform, so they can focus on engineering rather than absorbing delivery and handoff work alone. Ask the hard questions and make sound tradeoff calls alongside your engineers.
Keep the operational bar high. Query is on the critical path when something: is wrong in the fleet, so availability, query performance, and correctness of what comes back are core to the job, not afterthoughts.
Own the team's oncall rotation and the operational health of the storage and query stack.
What they're looking for
- Manage cost and scale together. Retention policy, downsampling, cardinality,: and storage tiering are product decisions as much as engineering ones, and you will be in those conversations.
- Coordinate across team boundaries. Your team consumes what the collection and: ingestion teams produce and serves internal platform teams as well as external customers, so sequencing dependencies and escalating early is a core part of the job.
- Shape the team over time. Work with recruiting on sourcing, run a: high-quality interview loop, close strong candidates, and onboard them well.
- Collaborate across functions. Partner with product, neighboring: infrastructure teams, peer managers, and leadership to keep priorities aligned as the observability product expands.
