Senior Enterprise Automation Engineer
Crusoe · Sunnyvale, CA - US
Infrastructureonsitesenior$145k–$170k
At a glance
Highlights
- Build autonomous agents that orchestrate workflows across enterprise systems.
- Establish technical foundations for an AI-powered enterprise operating model.
- Create reusable tooling to enable a citizen developer ecosystem at scale.
What they offer
- Restricted Stock Units included in all offers
- Comprehensive health, dental and vision insurance
- Paid time off, paid holidays and leave programs
- Paid parental leave and 401(k) with company match up to 4%
- Professional development and tuition reimbursement
- Daily meals allowance plus cell phone and commuter benefits
Ideal candidate
A builder who thrives in ambiguity and moves with urgency to turn ideas into production automation. You care about scalable AI impact and enabling others through mentorship and reusable frameworks.
Requirements
- 5+ years software engineering experience including 2+ years in AI/ML or AI application development
- Strong proficiency in Python and API development with REST, GraphQL and webhooks
- Hands-on experience with enterprise integration platforms such as Workato, MuleSoft or Zapier
- Experience working with LLM APIs such as OpenAI, Anthropic or Google Gemini
- Deep understanding of agentic architectures, RAG patterns and prompt engineering
- Experience designing scalable distributed systems in cloud environments such as AWS, GCP or Azure
- Strong knowledge of microservices, event-driven architecture and integration design patterns
- Experience with CI/CD, infrastructure as code and DevOps practices
- Understanding of data security, privacy and compliance considerations including SOC 2 and GDPR
Lab profile
About Crusoe
Vertically integrated AI infrastructure company powering ambitious AI workloads from electrons to tokens.
What they build
- Crusoe Cloud for AI workloads
- Purpose-built AI data centers
- Managed GPU infrastructure
Known for
- Vertically integrated from electrons to tokens
- Owns and operates full infrastructure stack
- Built for large-scale AI workloads
Key facts
- Founded in 2018
- Headquartered in San Francisco, CA
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