Product Engineer – Enterprise Analytics Services
Ralliant Village of Fairport, New York, United States
Electrical Equipment Manufacturing · 5,001-10,000 employees
About the role
Lead the delivery of complex analytics services from specification through production deployment. Collaborate with cross-functional teams and AI agents to design resilient, cloud-agnostic enterprise software.
What they look for
Requirements
Requires 6+ years of experience in enterprise software development and cloud-native systems. Candidates must be proficient in Agile methodologies, testing automation, and AI-assisted engineering workflows.
Full description
Product Engineer – Enterprise Analytics Services
Position Summary
Independent technical leader delivering complex software capabilities while contributing to architecture and mentoring peers.
Build the Future of Enterprise Analytics
Qualitrol's Enterprise Analytics Services organization develops AI-native, cloud-agnostic enterprise software that powers advanced analytics for critical electrical infrastructure. Engineers follow a Specification-Driven Agentic SDLC, collaborating with AI throughout architecture, implementation, testing, documentation, and validation while retaining full engineering accountability.
Mission
Own delivery of complex analytics services from specification through production deployment.
Areas of Stewardship
- Lead implementation of major epics.
- Author engineering specifications.
- Design resilient distributed services.
- Drive software quality, testing, and production readiness.
- Mentor Product Engineers.
What You'll Bring
6+ years building enterprise software, cloud-native development, APIs, event-driven systems, plugins, testing automation, Agile, and AI-assisted engineering workflows.
Ways of Working
Work within Agile Scrum teams using SAFe 6.0 principles. Collaborate daily with Product Owners, Product Architects, Quality Assurance, fellow engineers, and AI agents to deliver secure, observable, cloud-agnostic enterprise software.
Engineering Principles
- Own products, not features.
- Begin with specifications, not code.
- AI accelerates engineering; accountability remains human.
- Architecture is everyone's responsibility.
- Design once. Deploy anywhere.
- Security is a design requirement.
- Observability is a product capability.
- Optimize for customer outcomes.
Why Join Us
Help build one of the industry's most ambitious enterprise analytics platforms for critical infrastructure while shaping the future of AI-Native Product
