Sr Software Engineer, PLM Platform

New

JobgetherSoftware Engineering

Eligibility to work remotely from the United States or Canada according to the source role.ContractSenior

Salary68 - 72 USD per hour

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Job Details

11+ years of experience building and supporting production backend software.
Strong expertise in modern backend development, with C#/.NET preferred (experienced Java, Go, or Kotlin engineers may be considered).
Hands-on cloud-native engineering experience, preferably with Microsoft Azure; AWS or GCP experience is relevant.
Proven experience working with containers and Kubernetes, including real-world production troubleshooting.
Strong enterprise API and integration experience, particularly with REST APIs, API reliability patterns, OAuth 2.0, and OpenID Connect/OIDC.
Experience with both relational and document-oriented data modeling.
Experience owning infrastructure-as-code and CI/CD processes using technologies such as Bicep, Terraform, ARM, or Azure DevOps Pipelines.
Strong understanding of software design patterns, SOLID principles, automated testing, production telemetry, and operational ownership.
Excellent written communication skills for design documentation, runbooks, and engineering notes.
Experience with PLM, PDM, ERP, CAD, or other engineering systems is preferred (PTC Windchill experience is an advantage).
Experience with message-driven architectures and services such as Azure Service Bus, Event Hubs, or Event Grid is beneficial.

Design, develop, and support production-grade backend services, integrations, automation, and custom PLM platform extensions.
Build and maintain integrations between PLM and ERP, analytics, ECAD, and other downstream enterprise systems.
Own solutions across the full engineering lifecycle, including architecture, coding, automated testing, CI/CD, deployment, observability, troubleshooting, and production support.
Develop and maintain REST APIs with robust handling of pagination, retries, idempotency, partial failures, OAuth 2.0, and OpenID Connect/OIDC.
Deploy and operate containerized workloads using Kubernetes, including hands-on troubleshooting of production environments.
Manage infrastructure and delivery pipelines using infrastructure-as-code and CI/CD technologies such as Bicep, Terraform, ARM, Azure DevOps Pipelines, or comparable tools.
Apply strong software design practices, including established design patterns and SOLID principles, to create maintainable and scalable solutions.
Implement production telemetry and observability using tools such as OpenTelemetry, Application Insights, Grafana, or similar technologies.
Contribute to the modernization of legacy applications while maintaining production stability and operational continuity.
Support product-engineering processes involving product definitions, bills of materials (BOMs), engineering changes, and release management.

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