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We're looking for a hands-on Engineering Manager to lead our Production Engineering team, where you'll split your time between driving reliability improvements and leading a team of SREs embedded across Crusoe's AI infrastructure offerings. You'll own the production health of the services Crusoe delivers to enterprise customers, including Kubernetes, Inference, and AutoClusters, partnering closely with embedded engineering teams to raise the bar on operational excellence, automation, and customer experience.
Job Responsibility
Leading and growing a team of SREs embedded within Crusoe's AI product areas, setting technical direction and fostering a culture of ownership and continuous improvement
Contributing as an IC — reviewing code, building tooling, and driving automation to reduce toil and improve the reliability and scalability of production services
Owning SLA/SLO performance, incident response, and on-call health for service offerings
leading blameless post-mortems and driving systemic remediation
Partnering with embedded product and platform engineering teams to influence infrastructure design, observability strategy, and operational readiness for new and existing services
Defining and tracking reliability, performance, and operational maturity metrics across the team
translating data into prioritized roadmap investments
Serving as a technical escalation point for high-severity production incidents affecting enterprise customers, and collaborating with Cloud Support and Customer Success on resolution and communication
Requirements
5+ years of software or infrastructure engineering experience, with at least 1–2 years in an engineering management or tech lead role
Strong SRE or production engineering background — hands-on experience with incident management, SLO frameworks, runbooks, and on-call operations
Solid coding ability
comfortable writing production-grade code in Go, Python, or similar languages to build tooling and automation
Experience working with or embedding into cross-functional product teams, and influencing engineering decisions across organizational boundaries
Familiarity with container orchestration and cloud-native infrastructure — Kubernetes, distributed systems, and cloud service architectures
Strong communication skills — able to clearly represent technical risk and operational status to both engineering peers and business stakeholders
Nice to have
Experience with GPU infrastructure, AI/ML workloads, or inference serving platforms
Background in HPC orchestration tools such as Slurm or Ray
Prior experience at a cloud provider, AI infrastructure company, or hyperscaler
Familiarity with Crusoe's infrastructure stack or similar turn-key AI infrastructure offerings
What we offer
Industry competitive pay
Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability