Systems Architect

Ralliant•Village of Fairport, NY

1d•Remote

About The Position

Qualitrol is building an AI-Native Product Engineering team focused on enterprise analytics services for critical electrical infrastructure. The Product Architect provides technical leadership across multiple product squads, defining architecture while remaining hands-on in specification, software design, implementation, code review, mentoring, and production support. The role guides the evolution of a common enterprise analytics platform deployed from a single code base across cloud-native and customer-managed on-premises environments. Our engineers begin with precise specifications rather than source code. Using a Specification-Driven Agentic Software Development Lifecycle, Product Engineers collaborate with AI agents to accelerate architecture, implementation, testing, documentation, and validation while retaining full accountability for engineering judgment, software quality, cybersecurity, and customer outcomes.

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, or related discipline.
12+ years building enterprise software with significant architecture leadership.
Expertise in C#, .NET, C++, ASP.NET Core, Python, cloud-native development, Kubernetes, distributed systems, plugin-based architectures and API-first design.
Demonstrated success designing software deployable from a common code base across public cloud and customer-managed on-premises environments.
Strong knowledge of cybersecurity, observability, multi-tenancy, event-driven architecture, and enterprise software engineering.
Experience mentoring engineers and influencing technical direction across multiple teams.
Experience with Agile Scrum; SAFe 6.0 preferred.
Experience with specification-driven development, AI-assisted engineering workflows, or agentic SDLC practices.

Responsibilities

Define and evolve the Enterprise Analytics platform architecture.
Partner with Product Owners to transform end user outcomes into executable engineering specifications.
Lead architectural reviews, technical design sessions, and implementation strategy.
Use AI-assisted engineering tools to accelerate production-quality software delivery while maintaining human accountability.
Establish reusable architectural patterns, APIs, and shared services.
Drive engineering quality through automated testing, code reviews, and engineering standards.
Champion secure-by-design, observable, resilient software.
Mentor Product Engineers and foster technical excellence.
Collaborate closely with Quality Assurance throughout the SDLC.
Support SAFe 6.0 Agile planning, architecture runway, and continuous delivery.