.NET Software Engineer

Position: .NET Software Engineer
Location: Washington State -Hybrid 

Full Stack Software Engineers (SWE II) with experience in .NET (C#) and Python to build and scale cloud-native solutions on Microsoft Azure. This role is ideal for engineers who can own features end-to-end, collaborate across time zones, and deliver production-ready systems with minimal direction.

What You’ll Work On
• Unified Identity & Profile Platform
Build and evolve identity and profile systems supporting Entra and non-Entra identities, account linking, and secure profile management.
• Organization Skilling & Learning Experiences
Enhance skilling playlists, org-wide learning experiences, and AI-assisted builder capabilities.
• Reporting & Insights
Develop reporting pipelines and APIs delivering learner-level, feature-level, and org-level insights.

Key Responsibilities
• Design, develop, and ship full-stack solutions using C#/.NET and Python
• Build and maintain scalable backend services and APIs
• Deploy and operate services on Azure, including AKS or Azure Container Apps
• Create and maintain CI/CD pipelines for containerized applications
• Collaborate with offshore technical teams and participate in design/code reviews
• Own features from concept through production and monitoring

Required Qualifications
• Strong experience with C#/.NET OR Python (both preferred)
• Solid experience building backend services and APIs
• Hands-on experience with Microsoft Azure
• Experience with AKS and/or containerized workloads
• Experience with CI/CD pipelines and cloud deployments
• Ability to work independently and drive work forward without detailed instructions

Nice to Have
• Identity and authentication systems (Entra ID, OAuth, OpenID Connect)
• Data, analytics, or reporting systems
• Frontend frameworks (React, Angular, etc.)
• Infrastructure-as-Code (Bicep, ARM, Terraform)
• AI/ML or AI-assisted product features

What We Value
• Ownership mindset and technical accountability
• Strong communication and collaboration skills
• Comfort operating in ambiguous problem spaces