Product Engineer – Enterprise Analytics Services

Ralliant

• $90K — $130K *
Fairport, NY 14450Hybrid
Enterprise Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 6+ years of experience in building enterprise software
  • Proficiency in cloud-native development and APIs
  • Experience with event-driven systems and plugins
  • Familiarity with testing automation
  • Knowledge of Agile methodologies and AI-assisted workflows

Responsibilities

  • Lead implementation of major software projects
  • Author detailed engineering specifications
  • Design services that are resilient and distributed
  • Ensure high software quality and readiness for production
  • Mentor junior Product Engineers

Benefits

  • Opportunity to lead complex projects and drive innovation
  • Collaborative environment with Agile and SAFe 6.0 practices
  • Emphasis on professional development and mentoring
  • Work with cutting-edge technologies including AI
  • Focus on architecture as a shared responsibility
Full Job Description
JOB DESCRIPTION

Product Engineer – Enterprise Analytics Services

Position Summary

Independent technical leader delivering complex software capabilities while contributing to architecture and mentoring peers.

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.

* Ladders Estimates

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