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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Developer Sr. - AI-Native .NET/ Azure (Cloud Platform) - **Company:** Dayforce, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $95,100.0 - $169,800.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, Build Automation, Microsoft Azure, C Sharp (Programming Language), Mobile Application Development, Cloud Computing, Code Generation, Code Review, Computer Programming, Data Governance, Data Integrity, Relational Databases, Cursor (Graphical User Interface Elements), Software Debugging, Software Design Patterns, Distributed Systems, Elasticsearch, Github, Protocol Buffers, MongoDB, Node.Js, NoSQL, NuGet, Object-Oriented Software Development, Scrum Methodology, Regression Testing, Message Oriented Middleware, Software Engineering, SQL Databases, Test Case, Management of Software Versions, Azure Service Bus, Cloud Platform System, .NET Core, Data Ingestion, GitHub Copilot, ReactJS, Large Language Models, Kubernetes Helm Charts, Indexer, Specflow, AngularJS, Integration Tests, Solid Principles, Kubernetes, Information Technology, Apache Kafka, Cosmos DB, Azure AKS, Graphql, Front End Software Development, Code Restructuring, Serverless Computing, Docker, Confluent, Microservices - **Published:** June 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=db55be048a80c25e ## About the Role Do you have experience in Tooling?, Do you have a Master's degree?, AI-Native Development - Must Have These are not aspirational. We expect candidates to demonstrate these in day-to-day engineering work: * Daily, hands-on use of AI coding tools - GitHub Copilot, Cursor, Windsurf, or equivalent - as a first-class part of your development workflow (code generation, refactoring, debugging, documentation) * Experience integrating LLM APIs (Azure OpenAI, OpenAI, Anthropic, or equivalent) into real software features in a product or professional context * Working knowledge of RAG design patterns and prompt engineering applied to actual software problems - not just familiarity from courses or demos * Familiarity with tool-calling and MCP (Model Context Protocol) integration patterns and how agentic workflows compose with existing backend services * AI-assisted testing practices - using AI for test case generation, PR review automation, or debugging complex runtime behavior Software Engineering Fundamentals * Strong object-oriented design and programming skills in C# / .NET / .NET Core (primary) or Java; deep knowledge of SOLID principles, clean code, and maintainable system design * Proficiency with SQL on modern relational databases; ability to write performant queries, design schemas, and reason about data integrity * Hands-on experience applying design patterns, writing comprehensive unit and integration tests, and profiling / optimizing performance * Strong understanding of microservices architecture - service boundaries, inter-service communication, data ownership, eventual consistency Cloud, Infrastructure, and Platform * Production experience building and deploying services on Microsoft Azure - including Azure Kubernetes Service (AKS), Azure Service Bus, Azure DevOps, Azure Functions, or equivalent services * Hands-on experience with Apache Kafka or Confluent Cloud for event-driven, asynchronous messaging in a distributed system * Docker and Kubernetes - containerizing services, writing Helm charts or Kubernetes manifests, and deploying to managed clusters * NoSQL databases - production experience with MongoDB, Azure Cosmos DB, or equivalent; understanding of document modeling, indexing, and consistency trade-offs * CI/CD pipelines as code using Azure DevOps, GitHub Actions, or equivalent - automated builds, tests, deployments, and quality gates * Experience designing and implementing REST and/or gRPC APIs with appropriate authentication, versioning, and contract hygiene Delivery and Collaboration * Strong agile delivery skills - active contributor in sprint ceremonies, owns stories end-to-end, flags blockers early * Excellent communication skills - able to explain technical decisions clearly to both engineers and non-engineers * Disciplined self-starter who works effectively independently and within a close-knit scrum team * Strong analytical skills and a systematic, evidence-driven approach to problem-solving Education * Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience) What would make you really stand out * Frontend experience with Angular, React, or Node.js * GraphQL API design and implementation * gRPC and protobuf schema design * ElasticSearch / OpenSearch for indexing and query * Behavior-driven testing with SpecFlow or similar BDD frameworks * Experience with NuGet packaging and library distribution * Fintech, payroll tax, or financial services domain experience ## Description As a Senior Software Developer on a DTP+ scrum team, you will design and deliver platform features across the Collections, Payments, Customer Profile, Agency Compliance, and eFile services. You will work directly with Architects, Product Managers, and peer developers to shape technically sound, well-engineered solutions for a platform that North American employers and regulators depend on. If you are a senior or lead engineer who takes pride in clean code, thinks carefully about system design, and is genuinely excited about the shift to AI-augmented software delivery - we want to talk. What you'll get to do * Design and deliver highly scalable, event-driven microservices features across the DTP+ platform - from data ingestion through fund movement and compliance filing * Work AI-natively every day - use AI coding tools (GitHub Copilot, Cursor, Windsurf, or equivalent) as a primary productivity layer for feature development, code review, and debugging * Integrate LLM APIs and AI patterns where they add genuine product value - including calling Azure OpenAI or equivalent APIs, building prompt chains, and applying RAG patterns to real features * Contribute to the team's AI practices - share what works, help teammates level up on AI-assisted testing and code review, and bring new patterns to the scrum team's workflow * Drive design and code reviews, ensuring solutions are clean, testable, performant, and consistent with platform conventions * Write high-quality unit, integration, and regression tests - including AI-generated test suites where appropriate * Mentor fellow developers on software engineering fundamentals, clean code principles, and AI-augmented development practices * Build working proof-of-concepts and make concrete technology recommendations to improve scalability, maintainability, and quality * Participate in Product discussions to advise on and influence the DTP+ roadmap * Take ownership of development initiatives end-to-end - design, implement, test, ship, and support, * You will work on real infrastructure at scale - the DTP+ platform processes tax liability and fund movement for thousands of North American employers * The team is actively transitioning to AI-native engineering - your experience will accelerate the team, not just support it * Greenfield microservices on Azure, Kafka, and Kubernetes - the architecture is modern and the decisions are yours to influence * Senior engineers here have a voice in product direction, architecture, and engineering culture ## Related Videos - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [How your .NET software supply chain is open to attack : and how to fix it](https://www.wearedevelopers.com/videos/938-how-your-net-software-supply-chain-is-open-to-attack-and-how-to-fix-it) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)