Product Architect

Ralliant

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

Qualifications

  • 8+ years in enterprise software engineering
  • Experience with C#/.NET, C++, and distributed systems
  • Proficient in Kubernetes and cloud-native development
  • Knowledge in cybersecurity and observability
  • Familiar with Agile/SAFe methodologies and specification-driven AI-first engineering

Responsibilities

  • Lead architecture for one Enterprise Analytics product domain
  • Mentor engineers and ensure alignment with QualCore standards
  • Own product architecture and technical roadmap
  • Conduct specification reviews and make architectural decisions
  • Leverage AI-assisted tools for software delivery
  • Drive API-first design and platform reuse
  • Collaborate with QA and Product Owners to deliver secure software

Benefits

  • Opportunity to lead and innovate in a technical architecture role
  • Mentorship and coaching opportunities
  • Work in Agile Scrum teams using SAFe principles
  • Collaborative team environment with daily interactions
  • Focus on secure and observable enterprise software development
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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