Software Engineer

Ralliant

• $108K — $130K *
Rochester, NY 14609Hybrid
Enterprise Technology
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 6+ years in enterprise software development
  • Experience with cloud-native applications and APIs
  • Proven skills in event-driven systems and testing automation
  • Strong background in Agile methodologies and AI-assisted workflows
  • Ability to mentor junior engineers effectively

Responsibilities

  • Lead the implementation of major software epics
  • Write engineering specifications for complex features
  • Design distributed, resilient software services
  • Ensure high software quality and production readiness
  • Provide mentorship to other product engineers

Benefits

  • Collaborative work environment with Agile teams
  • Opportunity to work with advanced AI technologies
  • Focused on professional development and mentorship
  • Participation in architecture decision-making
  • Engagement in delivering customer-focused solutions
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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