Product Engineer – Enterprise Analytics Services

Ralliant

• $110K — $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
  • Expertise in cloud-native development and APIs
  • Proficient in event-driven systems and plugins
  • Experienced in testing automation and Agile methodologies
  • Familiar with AI-assisted engineering workflows

Responsibilities

  • Lead the implementation of major epics for analytics services
  • Author comprehensive engineering specifications
  • Design resilient and scalable distributed services
  • Ensure software quality through rigorous testing and production readiness
  • Mentor and coach fellow Product Engineers on best practices

Benefits

  • Work within Agile Scrum teams adhering to SAFe 6.0 principles
  • Collaborate daily with cross-functional teams including Product Owners and Quality Assurance
  • Focus on secure, observable software that is cloud-agnostic
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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