- Ralliant
- Fairport, NY
- Full-Time
- 66 days ago
SaaS Architect – Analytics Platform.
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SaaS Architect – Analytics Platform: our view in 3 lines...
- The Role:This role is for a founding SaaS architect to define the technical architecture for a cloud-native analytics platform in an industrial technology company.
- The Person:The person will define platform architecture, lead technical decisions, coach engineers, establish engineering standards, and drive AI-assisted development and operational excellence.
- Requirements:The ideal candidate has 10+ years of enterprise software development, 5+ years architecting SaaS platforms, strong cloud architecture experience, and a deep understanding of DevSecOps.
About the role
SaaS Architect – Analytics Platform
Position Summary
The Founding SaaS Architect is responsible for defining and evolving the technical architecture for Qualitrol's 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
#LW-PW1
Ralliant Corporation Overview
Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life — faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we’re building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.
