Remote Senior Backend Engineer – PLM Platform

Cayuse Holdings

Madison (WI)

Remote

USD 94,000 - 99,000

Full time

12 days ago
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Job summary

Cayuse Holdings in the United States is seeking a Sr Software Engineer for the PLM Platform. This role is remote in the US or Canada and focuses on delivering backend services, integrations, and extensions that connect PLM with ERP, analytics, ECAD, and other enterprise systems.

You will own end-to-end solutions—from architecture and coding to CI/CD, Kubernetes deployment, observability, and production support.

Qualifications

  • 11+ years of production backend experience.
  • Strong backend development with C#/.NET preferred.
  • Expertise in cloud-native engineering (Azure, AWS or GCP).
  • Hands-on containers and Kubernetes with troubleshooting.
  • Strong API and enterprise integration experience.
  • Familiarity with OAuth 2.0 / OIDC and data modeling.
  • IaC and CI/CD ownership using Bicep/Terraform/ARM or equivalent.
  • Knowledge of SOLID design, testing, telemetry, and runbooks.

Responsibilities

  • Build and operate backend services, integrations, automation for a PLM platform.
  • Connect PLM with ERP, analytics, ECAD and downstream systems.
  • Own end-to-end solutions from architecture to CI/CD, Kubernetes, observability, and production support.

Skills

Backend experience
C#/.NET
Java/Go/Kotlin
Azure
AWS/GCP
Kubernetes
API integration
REST APIs
OAuth 2.0 / OIDC
Data modeling
Infrastructure-as-code
CI/CD
IaC tools (Terraform, Bicep, ARM)
SOLID principles
Observability & testing
Documentation

Tools

Kubernetes
Azure DevOps
Terraform / IaC
Open telemetry / Application Insights

Job description

Cayuse Holdings in the United States is seeking a Sr Software Engineer for the PLM Platform. This role is remote in the US or Canada and focuses on delivering backend services, integrations, and extensions that connect PLM with ERP, analytics, ECAD, and other enterprise systems.

You will own end-to-end solutions—from architecture and coding to CI/CD, Kubernetes deployment, observability, and production support.

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