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ProvidencePosted 1 month ago

Senior Software Engineer

On-siteAzure, Montana, United States

Part TimeSenior LevelBachelors DegreeMedium

Job Summary

Design, develop, test, and maintain secure, scalable full-stack applications, APIs, integrations, and cloud-native services. Deliver well-tested features across front-end, backend, database, and integration layers using modern engineering practices. Apply DevOps, CI/CD, source control, automated testing, monitoring, and deployment practices to improve software quality and reliability. Build MLOps and Agentic scenarios for the platform. Collaborate with product owners, architects, senior engineers, data teams, and operations partners to understand requirements and deliver business value. On a typical day, build and enhance full-stack features, develop reusable backend services and APIs, create responsive user experiences, write automated tests, troubleshoot issues, support deployments, and collaborate with cross-functional teams to deliver reliable cloud and on-premises solutions that support Providence's mission of Health for a Better World.

Required Qualifications

  • B.Tech. or BS in Computer Science, Engineering, or a related field, or equivalent practical experience
  • 6–9 years of professional software engineering experience
  • Strong hands-on experience with Microsoft .NET technologies such as C# and .NET Framework/.NET Core, or comparable backend programming experience
  • Front-end development experience with React, Angular, HTML, CSS, JavaScript, and/or TypeScript
  • Experience with SQL databases, relational data modeling, APIs, microservices, source control, unit testing, debugging, and secure coding practices
  • Working knowledge of cloud-native development, Azure or similar cloud platforms, CI/CD pipelines, Docker/Kubernetes exposure, and Agile/Scrum delivery using Azure DevOps and Git
  • Strong problem-solving, communication, collaboration, ownership, learning agility, and ability to work effectively with ambiguity in a fast-paced engineering environment
  • Hands-on experience on building ML and AI Ops scenarios

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