Crisis Prevention Institute
Crisis Prevention Institute
Crisis Prevention Institute nodrošina profesionālu apmācību, kas vērsta uz krīzes situāciju novēršanu un pārvaldību. Tās programmas ietver uz pierādījumiem balstītu deeskalāciju, traumā balstītu praksi un nevardarbīgu krīzes intervenci organizācijām izglītības, veselības aprūpes, sociālo pakalpojumu, konsultāciju, loģistikas un citās saistītās jomās. Uzņēmuma apmācības palīdz darbiniekiem reaģēt uz izaicinošu uzvedību, vienlaikus veicinot drošāku un labāk sagatavotu darba un pakalpojumu vidi.

Senior Software Engineer - Hybrid in Milwaukee

Join Crisis Prevention Institute as a Senior Software Engineer building its cloud-native learning platform with .NET, Azure, and React. Own product work from design and testing through deployment, operations, and continuous improvement.

Apraksts

  • Work hands-on within a Product Engineering squad supporting CPI's Integrated Training and Learning (ITL) cloud-native platform
  • Create, test, deploy, and operate features across C#/.NET microservices, CQRS handlers, Azure Service Bus, Azure SQL, and React
  • Work with product and design partners to uncover customer needs, question assumptions, and develop straightforward solutions
  • Divide epics into independently deliverable increments and assess releases using real-world usage data
  • Develop automated unit, integration, and contract tests while sustaining observability with logs, metrics, and traces
  • Present finished work to business stakeholders and connect delivered functionality to customer and business value
  • Track dashboards and alerts, take part in on-call coverage, and troubleshoot production incidents
  • Join blameless incident reviews and lead follow-up improvements that reduce recurrence
  • Address technical debt, accelerate build and deployment workflows, and reduce unnecessary system complexity
  • Help separate ITL domain data from upstream enterprise systems
  • Build with secure coding practices and meet WCAG 2.1 AA accessibility standards
  • Use AI-supported tools for exploring designs, coding, testing, refactoring, and debugging while remaining accountable for quality, security, and correctness
  • Trial AI tools, evaluate their results, and communicate findings to the squad
  • Spot potential AI applications in the ITL product and internal tools, then develop proof-of-concept proposals
  • Explore unfamiliar systems, distribute knowledge through reviews and documentation, and conduct technical investigations
  • Exchange constructive code reviews, support developing engineers through mentorship, and participate in retrospectives
  • Complete additional duties related to the position as assigned

Prasības

  • Bachelor's degree in computer engineering, computer science, or a related discipline, or equivalent practical experience
  • At least five years of professional experience developing and operating production web applications and services
  • At least three years of hands-on C# and .NET experience, including ASP.NET Core and .NET 6+, for APIs and backend services
  • Background building and supporting distributed, event-driven systems with message brokers such as Azure Service Bus and asynchronous processing
  • Experience with CQRS, domain-driven design, or comparable approaches that distinguish read and write operations and explicitly model business domains
  • Experience delivering React front-end functionality using hooks, state management, component design, and modern JavaScript or TypeScript
  • Experience designing relational schemas and writing efficient SQL for SQL Server or Azure SQL
  • Experience deploying and running services on Azure, including App Service, Functions, Service Bus, Azure SQL, and Azure Monitor or Application Insights, or on an equivalent cloud platform
  • Experience with automated unit, integration, contract, and end-to-end testing, along with CI/CD pipelines using Azure DevOps or GitHub Actions
  • Experience on agile teams practicing continuous delivery through small batches, trunk-based development or short-lived branches, feature flags, and frequent production releases
  • Understanding of REST API design, authentication and authorization approaches, and security-focused design patterns
  • Understanding of observability through structured logs, metrics, distributed tracing, and alerting
  • Experience incorporating AI-assisted development tools such as GitHub Copilot, Claude, or Cursor into daily engineering work
  • Evidence of annual professional development through an accredited software engineering course, relevant certification, or a completed learning project presented to the team
  • Ability to turn an unclear product challenge into a well-designed, tested, and shipped solution with limited supervision
  • Ability to explain technical trade-offs clearly to technical and non-technical audiences, both verbally and in writing
  • Ability to exchange candid, respectful feedback, disagree constructively, and support agreed team decisions
  • Ability to balance competing priorities and deliver the strongest feasible outcomes for the organization
  • Demonstrated curiosity, ownership, initiative, experimentation, resilience after failure, learning, and continuous improvement

Priekšrocības

  • Competitive salary
  • Comprehensive benefits package
  • 401(k) retirement plan
  • Paid time off
  • Health and Wellness Days
  • Paid volunteer time off
  • Continuing education and professional training
  • Hybrid or remote work schedule
  • Paid parental leave

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