Senior Software Engineer – PLM Platform

This is a hands-on senior individual-contributor role supporting the technical layer around a Product Lifecycle Management (PLM) platform. The engineer will build and operate backend services, integrations, automation, and custom extensions that connect PLM with ERP, analytics, ECAD, and other downstream enterprise systems.

The ideal candidate is a production-minded backend engineer who can own solutions end-to-end—from architecture and coding through CI/CD, Kubernetes deployment, observability, and production support.

Core requirements 11+ years of experience building and supporting production backend software

Strong Java, Go, or Kotlin engineers are also acceptable if willing to work in C#/.NET

Cloud-native engineering experience, preferably Microsoft Azure

AWS or GCP experience is acceptable

Hands-on experience with containers and Kubernetes , including real-world troubleshooting

Strong API and enterprise-integration experience, including:

REST APIs

API pagination, retries, idempotency, and partial-failure handling

OAuth 2.0 and OpenID Connect/OIDC

Experience with relational and document data modeling

Infrastructure-as-code and CI/CD ownership

Strong understanding of code-level design patterns and SOLID principles

Automated testing, production telemetry, troubleshooting, and operational ownership

Excellent written communication for design notes, runbooks, and engineering documentation

Interest in product-engineering domains, including product definitions, BOMs, engineering changes, and release processes

Preferred experience PLM, PDM, ERP, CAD, or engineering-systems background

PTC Windchill experience is a strong plus, though PLM experience is not mandatory

Azure Service Bus, Event Hubs, Event Grid, or other message-driven architecture experience

OpenTelemetry, Application Insights, Grafana, or related observability tooling

Experience modernizing legacy applications while maintaining production stability

Experience using AI-assisted engineering tools productively for development, debugging, testing, and documentation

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