SaaS Architect – Analytics Platform

RalliantRochester, NY
$104,300 - $193,700

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
  • Deep understanding of DevSecOps

Nice To Haves

  • Experience with Microsoft Azure
  • Experience with AWS
  • Experience with Kubernetes
  • Experience with Event-driven architectures
  • Experience with Industrial IoT
  • Experience with Industrial Analytics
  • Experience with 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

Benefits

  • 10% global travel
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