Product Architect

Ralliant

$120K — $145K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in enterprise software engineering
  • Experience in architecture with C#/.NET, C++, and distributed systems
  • Proficiency in Kubernetes and cloud-native development
  • Strong background in cybersecurity and observability
  • Familiarity with Agile/SAFe and specification-driven AI-first engineering

Responsibilities

  • Lead architectural design for the Enterprise Analytics product domain
  • Own and manage the product architecture and technical roadmap
  • Review specifications and make architectural decisions
  • Utilize AI-assisted tools to enhance software delivery
  • Promote platform reuse and implement API-first design
  • Mentor Product Engineers and collaborate with QA and Product Owners

Benefits

  • Mentorship in a collaborative team environment
  • Engagement with cutting-edge AI-assisted engineering tools
  • Focus on professional development within Agile Scrum teams
  • Opportunity to influence product architecture at the enterprise level
  • Work on secure, cloud-agnostic enterprise solutions
Full Job Description
JOB DESCRIPTION

Product Architect – Enterprise Analytics Services

Position Summary

Technical architecture leader for a product squad responsible for translating product vision into executable architecture and production software.

Mission

Lead architecture for one Enterprise Analytics product domain while mentoring engineers and ensuring alignment with QualCore platform standards.

Areas of Stewardship
  • Own product architecture and technical roadmap.
  • Lead specification reviews and architectural decisions.
  • Use AI-assisted engineering tools to accelerate production-quality software delivery while maintaining human accountability. 
  • Drive platform reuse and API-first design.
  • Coach Product Engineers and partner with QA and Product Owners.
What You'll Bring

8+ years in enterprise software engineering with architecture experience, C#/.NET, C++, distributed systems, Kubernetes, cloud-native development, cybersecurity, observability, Agile/SAFe, and specification-driven AI-first engineering.

Ways of Working

Work within Agile Scrum teams using SAFe 6.0 principles. Collaborate daily with Product Owners, Quality Assurance, fellow engineers, and AI agents to deliver secure, observable, cloud-agnostic enterprise software from a common code base.

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.

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