Software Engineer

Ralliant

• $110K — $130K *
Fairport, NY 14450Hybrid
Information Technology
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

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

Responsibilities

  • Lead the implementation of major epics and features.
  • Author detailed engineering specifications for projects.
  • Design and develop resilient distributed services.
  • Ensure software quality, conduct testing, and verify production readiness.
  • Mentor junior Product Engineers and foster development.

Benefits

  • Collaborative work environment with Agile Scrum teams.
  • Opportunity for professional development through mentoring.
  • Engagement in cutting-edge technologies like AI and cloud-based systems.
  • Focus on delivering secure and observable software 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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