SaaS Architect Analytics Platform

Position Summary

The Founding SaaS Architect is responsible for defining and evolving the technical architecture for Qualitrols Analytics as a Service platform. This individual will establish the engineering standards architecture and technical direction required to rapidly build secure scalable and maintainable cloud-native analytics services.

The architect will partner closely with the Product Owner and Product Engineers to ensure the platform evolves rapidly while maintaining a high standard of software quality cybersecurity and operational excellence. Success in this role requires balancing long-term architectural vision with hands-on technical leadership in a fast-paced startup environment.

Primary Responsibilities

Platform Architecture

Define the architecture supporting:

• Rotating Machine Analytics
• Grid Analytics
• Future Analytics Services

Ensure solutions are:

• Cloud-native and on prem
• Secure
• Scalable
• Highly available

• Maintainable

Technical Leadership

Provide technical leadership across the incubator.

Guide engineering decisions including:

• Architecture
• Design patterns
• APIs
• Data models
• Security
• Performance
• Observability

Coach engineers through design reviews and architecture reviews.

AI-First Engineering

Champion AI-assisted software development including:

• Specification-driven development
• AI-assisted coding
• Automated code reviews
• Automated testing
• Documentation generation
• Technical debt reduction

Continuously improve engineering productivity through AI-enabled workflows.

Engineering Excellence

Establish standards for:

• Code quality
• DevSecOps
• CI/CD
• Test automation

• Cloud operations

• Cybersecurity

Partner closely with DevOps to ensure operational excellence.

Technology Strategy

Evaluate emerging technologies.

Lead technical decisions regarding:

• Cloud platforms
• AI technologies
• Data architecture
• Microservices and plugins
• APIs
• Event-driven systems
• Edge-to-cloud integration

Required Experience

• 10 years enterprise software development
• 5 years architecting SaaS platforms
• Strong cloud architecture experience
• Experience designing highly available distributed systems
• Experience leading engineering teams
• Deep understanding of DevSecOps

Preferred Experience

Experience with:

• Microsoft Azure
• AWS
• Kubernetes
• Event-driven architectures
• Industrial IoT
• Industrial Analytics
• AI-assisted software development

Success Measures

Within 12 months:

• Scalable SaaS architecture established
• Engineering standards fully adopted
• High deployment frequency achieved
• High platform availability maintained
• AI-assisted development adopted across the engineering team
• Technical debt actively managed

Travel

10% global travel

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