SaaS Architect – Analytics Platform
About The Position
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.
Requirements
- 10+ years enterprise software development
- 5+ years architecting SaaS platforms
- Strong cloud architecture experience
- Experience designing highly available distributed systems
- Experience leading engineering teams
Nice To Haves
- Experience with: Microsoft Azure, AWS, Kubernetes, Event-driven architectures, Industrial IoT, Industrial Analytics, AI-assisted software development
Responsibilities
- 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
- 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.
- 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.
- Establish standards for: Code quality, DevSecOps, CI/CD, Test automation, Cloud operations, Cybersecurity
- Partner closely with DevOps to ensure operational excellence.
- Evaluate emerging technologies.
- Lead technical decisions regarding: Cloud platforms, AI technologies, Data architecture, Microservices and plugins, APIs, Event-driven systems, Edge-to-cloud integration
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
