job summary:
Seeking a senior architect to assess the current Cutover platform, identify scalability and operational bottlenecks, and define a next-generation architecture for automated incident detection, diagnosis, remediation, and operational orchestration. The individual should combine deep architecture expertise with practical knowledge of AI/ML technologies, large-scale production operations, and emerging automation platforms. The role would support the continued evolution of Cutover, which is already being positioned as a strategic automation platform within CTI and APSE and has ongoing work around integration scalability, workload isolation, and automation expansion
location: Charlotte, North Carolina
job type: Contract
salary: $56.49 - 66.49 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
Current State Assessment:
- Document existing Cutover architecture and supporting ecosystem
- Analyze application, infrastructure, integration, and data flows
- Identify performance constraints and technical debt
- Evaluate resiliency, scalability, and operational readiness
- Capacity Performance Engineering
Analyze:
- API throughput
- Database performance
- Queue utilization
- Worker concurrency
- Integration bottlenecks
- Infrastructure scaling limits
- Develop growth and capacity forecasts
- Future State Architecture
Define target-state architecture for:
- Autonomous operations
- Automated incident resolution
- AI-assisted remediation
- Event-driven automation
- Self-healing platforms
- Create a multi-year technology roadmap
- AI and Emerging Technology Evaluation
Assess and recommend industry-leading technologies for:
- Agentic AI platforms
- AIOps platforms
- Generative AI operations assistants
- Event intelligence
- Knowledge graph solutions
- Autonomous remediation frameworks
- Predictive incident management
- 3-5+ years enterprise architecture experience
- Experience with highly distributed systems
- Experience scaling mission-critical platforms
- Strong cloud and hybrid architecture knowledge
- Experience with API, event-driven, and microservice architectures
- Incident management
- SRE practices
- Operational observability
- Reliability engineering
- Experience in large-scale environments
Understanding of:
- LLM architectures
- RAG patterns
- AI agents
- Prompt engineering
- AI governance
- Model evaluation
Preferred
- Experience training or fine-tuning AI models
- Experience building AI-powered operational workflows
- Experience integrating AI into enterprise production environments
- Automation Experience
- Workflow orchestration platforms
- CI/CD pipeline
qualifications:
Current State Assessment:
Document existing Cutover architecture and supporting ecosystem
Analyze application, infrastructure, integration, and data flows
Identify performance constraints and technical debt
Evaluate resiliency, scalability, and operational readiness
Capacity Performance Engineering
Analyze:
API throughput
Database performance
Queue utilization
Worker concurrency
Integration bottlenecks
Infrastructure scaling limits
Develop growth and capacity forecasts
Future State Architecture
Define target-state architecture for:
Autonomous operations
Automated incident resolution
AI-assisted remediation
Event-driven automation
Self-healing platforms
Create a multi-year technology roadmap
AI and Emerging Technology Evaluation
Assess and recommend industry-leading technologies for:
Agentic AI platforms
AIOps platforms
Generative AI operations assistants
Event intelligence
Knowledge graph solutions
Autonomous remediation frameworks
Predictive incident management
3-5+ years enterprise architecture experience
Experience with highly distributed systems
Experience scaling mission-critical platforms
Strong cloud and hybrid architecture knowledge
Experience with API, event-driven, and microservice architectures
Incident management
SRE practices
Operational observability
Reliability engineering
Experience in large-scale environments
skills:
AIOps,Agentic AI,AI agents,API,AI,CTI,CI/CD pipeline
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
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