Analyze, design, prototype, program, test, troubleshoot and support – the complete software lifecycle in your hands

• Analyze, design, prototype, program, test, troubleshoot and support – the complete software lifecycle in your hands
• Envision and deliver new features by working as part of a high-performing scrum team, with clients, prospects, implementation partners, and Dayforce personnel
• Create and enhance a scalable SaaS enterprise application
• Assess risks and impacts on the existing system as new functionality is added
• Perform code reviews
• Mentor other developers and share knowledge

Skills and experience we value

• Expert-level proficiency in C# and the .NET ecosystem, with significant experience in designing and interacting with relational databases (TSQL)
• Proven track record of designing, developing, and deploying robust, scalable enterprise-level software solutions
• Deep understanding and practical application of object-oriented design principles and common design patterns to create maintainable and efficient code
• Exceptional skills in performance optimization, debugging and troubleshooting
• Proficient in designing, developing, and consuming RESTful APIs for seamless integration between services
• Solid experience in front-end development using modern frameworks and libraries (e.g., React, Angular, or Vue), with a strong grasp of responsive design and user experience best practices
• AI-accelerated engineering: demonstrated use of AI developer tools (e.g., GitHub Copilot, Codeium, Sourcegraph Cody, etc.) to increase velocity and quality—such as generating unit tests, assisting refactors, drafting PR summaries/runbooks, or composing queries/migrations.  Be prepared to discuss measurable impact (cycle time, PR throughput, defect rate, coverage, or MTTR). 
  

What would make you really stand out

• Understanding microservice orchestration including ability to build a new service from scratch and deploy in a cloud infrastructure using automation
• Confident in working with Azure and managing infrastructure
• Advanced skills in setting up CI/CD pipelines for automated deployments using Azure DevOps CI/CD automation and GitHub Actions
• Experienced with Docker containers (Kubernetes is a plus)
• Proficient in test automation – unit, integration and E2E using tools like Cypress and Playwright
• Experience integrating LLM capabilities into products (e.g., retrieval/RAG, prompt design, evaluation/guardrails) is a plus.