This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Software Engineer, PLM Platform based in United States.
This is a hands-on senior individual-contributor role focused on the technical layer surrounding a Product Lifecycle Management (PLM) platform. You’ll build and operate backend services, integrations, automation, and custom extensions connecting PLM with ERP, analytics, ECAD, and other enterprise systems. The role offers end-to-end ownership, from architecture and development through CI/CD, Kubernetes deployment, observability, and production support. You’ll work in a cloud-native environment with a strong emphasis on reliable APIs, enterprise integrations, automation, and operational excellence. The position is well suited to a production-minded backend engineer who enjoys solving complex integration and platform challenges. You’ll also have opportunities to contribute to modernizing legacy applications while maintaining stability and performance in production.
Accountabilities:
- 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.
- Create clear design notes, runbooks, engineering documentation, and other technical materials.
- Support product-engineering processes involving product definitions, bills of materials (BOMs), engineering changes, and release management.
- Explore and use AI-assisted engineering tools to improve development, debugging, testing, and documentation workflows.
Requirements
- 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 also be considered if willing to work with C#/.NET.
- Hands-on cloud-native engineering experience, preferably with Microsoft Azure; AWS or GCP experience is also 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, Azure DevOps Pipelines, or equivalent tools.
- Strong understanding of software design patterns, SOLID principles, automated testing, production telemetry, troubleshooting, and operational ownership.
- Excellent written communication skills, with the ability to produce clear design documentation, runbooks, and engineering notes.
- Interest in product-engineering environments and concepts such as product definitions, BOMs, engineering changes, and release processes.
- Experience with PLM, PDM, ERP, CAD, or other engineering systems is preferred.
- PTC Windchill experience is a strong advantage, although direct PLM experience is not mandatory.
- Experience with message-driven architectures and services such as Azure Service Bus, Event Hubs, or Event Grid is beneficial.
- Familiarity with observability platforms such as OpenTelemetry, Application Insights, or Grafana is a plus.
- Experience modernizing legacy applications while maintaining production reliability is valued.
- Ability to work independently as a senior technical contributor while taking ownership of complex engineering solutions.
Benefits
- USD $68–$72 per hour.
- Independent contractor engagement, with compensation structured on a 1099 or C2C basis.
- Fully remote work arrangement.
- Eligibility to work remotely from the United States or Canada according to the source role.
- Opportunity to work on cloud-native backend engineering, enterprise integrations, and PLM technology.
- Hands-on exposure to Microsoft Azure, Kubernetes, CI/CD, infrastructure-as-code, APIs, observability, and modern engineering practices.
- End-to-end technical ownership spanning architecture, development, deployment, and production operations.
- Opportunity to contribute to PLM-connected enterprise systems and legacy modernization initiatives.
- Exposure to AI-assisted engineering tools and modern development workflows.
- Senior individual-contributor role with significant technical ownership and autonomy.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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