Crisis Prevention Institute

Full-stack Engineer

• Serve as a hands-on member of a Product Engineering squad on CPI's Integrated Training and Learning (ITL) cloud-native learning platform
• Design, build, test, deploy, and support features across C#/.NET microservices, CQRS handlers, Azure Service Bus, Azure SQL, and React
• Partner with the product owner and designer to understand customer problems, challenge assumptions, and propose simple solutions
• Break epics into independently shippable increments and validate releases with real usage data
• Write automated unit, integration, and contract tests; maintain observability through logging, metrics, and tracing
• Demonstrate completed work to business stakeholders and explain customer and business benefits
• Monitor dashboards and alerts, participate in the on-call rotation, and resolve production issues
• Participate in blameless incident reviews and drive preventative follow-up actions
• Reduce technical debt, improve build and deployment times, and simplify system complexity
• Contribute to decoupling ITL domain data from upstream enterprise systems
• Apply secure coding practices and WCAG 2.1 AA accessibility standards
• Use AI-assisted development tools for design exploration, coding, testing, refactoring, and debugging while owning quality, security, and correctness
• Experiment with AI tools, measure their impact, and share findings with the squad
• Identify opportunities for AI capabilities in the ITL product or internal tooling and propose proofs of concept
• Investigate unfamiliar systems, share knowledge through reviews and documentation, and run technical experiments
• Give and receive code review feedback, mentor less experienced engineers, and contribute to retrospectives
• Perform other position-related duties as assigned

Senior Software Engineer

• Serve as technical lead of a Product Engineering squad on CPI's Integrated Training and Learning platform
• Design and write backend code in C#/.NET microservices using CQRS and event-driven patterns in Azure
• Work across the full stack, including React, when required
• Translate product outcomes into technical approaches and choose simple designs that achieve customer and business outcomes
• Lead technical design for features and services, including event contracts, Azure SQL data models, and React integration
• Break epics into independently deployable increments and drive frequent, low-risk production deployments
• Write production code daily and resolve ambiguous technical problems
• Provide task breakdowns, identify dependencies, estimate effort, and assess risks
• Demonstrate squad work to business stakeholders and connect technical work to impact
• Own service health, define SLOs, maintain alerting and dashboards, participate in on-call, and lead production incident response
• Lead blameless incident reviews and ensure follow-up actions are completed
• Decouple ITL domain data from upstream enterprise systems and ensure data flows to the warehouse
• Reduce technical debt, improve build/test/deploy times, and automate operational toil
• Ensure secure coding, WCAG 2.1 AA accessibility, and performance standards
• Lead adoption of AI-assisted development tools and establish review/testing norms
• Partner on Product Engineering AI strategy and pilot tools and techniques
• Identify AI opportunities within the ITL product and internal tooling
• Set engineering standards for code reviews, testing, documentation, and architecture
• Mentor and coach engineers through pairing, design reviews, and feedback
• Sponsor experiments and proofs of concept and lead retrospectives
• Collaborate with squad leads, the Platform team, and the Principal Software Engineer
• Perform other position-related duties as assigned

Senior Software Engineer

Lead Software Engineer