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 #LI-PW1
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