Automation Engineer V
Skills
Computer ScienceAdoptionAutomation EngineeringCost EngineeringDriftEnterprise SystemsInterest Rates
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- B.S. in Computer Science Engineering or related field
- 10+ years of experience in enterprise automation workflow engineering integration engineering or platform architecture
- Deep hands-on expertise in n8n or Boomi with AI-enabled workflows agents and cross-functional automations
- Experience designing API-first and event-driven architectures including AI/ML service integration
- Strong understanding of REST webhooks OAuth JWT and API security
- Experience implementing CI/CD for automation or integration platforms including versioning for AI workflows prompts and models
- Cloud experience with AWS Azure or GCP including AI/ML services
- Familiarity with LLMs prompt engineering AI agents and orchestration frameworks
- Experience with observability and monitoring including latency cost accuracy and drift
- Proven ability to influence architecture and technical direction at scale
Nice to have
- high ownership
- quality mindset
- systems thinking
- collaborative mentor
- process simplifier
- AI fluent
Day to day
- Lead enterprise AI automation strategy with n8n as a core orchestration platform to reduce manual work and improve operational scale
- Design resilient, secure, and governed workflow solutions that combine APIs event-driven systems and AI agents
- Establish automation standards CI/CD pipelines observability and reliability guardrails while mentoring others to raise execution quality