Product Engineer – Enterprise Analytics Services

Ralliant

• $110K — $130K *
Rochester, NY 14609Hybrid
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
  • Proficient in cloud-native development and API design
  • Skilled in event-driven systems and plugins
  • Expertise in testing automation and Agile methodologies
  • Familiar with AI-assisted engineering workflows

Responsibilities

  • Lead the implementation of major projects
  • Create detailed engineering specifications
  • Design resilient and distributed services
  • Ensure software quality and production readiness
  • Mentor junior Product Engineers

Benefits

  • Collaborative work environment with Agile Scrum teams
  • Opportunity to work with cutting-edge AI technologies
  • Focus on personal ownership and accountability in projects
  • Emphasis on security and observability in product design
  • Support for continuous learning and mentorship
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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