Software Developer Sr. - AI-Native .NET/ Azure (Cloud Platform)

Dayforce

13h•$95,100 - $169,800•Remote

About The Position

The Dayforce Tax and Payments (DTP+) Product Engineering team is building the industry's next generation of Tax and Financial Services — a cloud-native, microservices-based platform on Azure that is replacing a decade-old monolithic system and handling hundreds of billions of dollars in tax liability and fund movement annually. This is not a role for someone planning to adopt AI tooling someday. We are looking for engineers who are already working AI-natively — developers who reach for Copilot, Claude, or an LLM API the same way they reach for a compiler. You use AI to write, review, test, and reason about code every day. That is the baseline. What we want to build on top of that baseline is deep platform engineering skill, strong fundamentals, and the kind of technical judgment that comes from having shipped real things. 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.

Requirements

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
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
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
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
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience)

Nice To Haves

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

Responsibilities

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