• Automate and reliably operate the infrastructure of the Internal Developer Platform (IDP) • Automate cloud infrastructure using Terraform and OpenTofu • Maintain cloud architecture and cloud networking • Help shape the observability stack and resolve infrastructure issues • Provide technical support for upcoming cloud migration projects

Role Description 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. - 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. Qualifications - AI-Native Development — Must Have - Daily, hands-on use of AI coding tools — GitHub Copilot, Cursor, Windsurf, or equivalent. - Experience integrating LLM APIs (Azure OpenAI, OpenAI, Anthropic, or equivalent). - Working knowledge of RAG design patterns and prompt engineering. - Familiarity with tool-calling and MCP integration patterns. - AI-assisted testing practices. Requirements - Strong object-oriented design and programming skills in C# / .NET / .NET Core (primary) or Java. - Proficiency with SQL on modern relational databases. - Hands-on experience applying design patterns, writing comprehensive unit and integration tests. - Strong understanding of microservices architecture. - Production experience building and deploying services on Microsoft Azure. - Hands-on experience with Apache Kafka or Confluent Cloud. - Docker and Kubernetes experience. - NoSQL databases experience. - CI/CD pipelines as code using Azure DevOps, GitHub Actions, or equivalent. - Experience designing and implementing REST and/or gRPC APIs. Benefits - Medical, dental, vision, and life insurance. - 401k plan (plus match). - Global Employee Stock Purchase Plan. - Unlimited Time Away From Work. - 10 paid US holidays. - Up to 80 hours of paid sick time. - 17 weeks of paid parental leave. - Opportunities for community impact and personal growth.

Role Description As a Senior Platform Engineer on our Data & Performance Enablement team, you will take a significant role in designing and implementing the platforms that manage all distributed event streaming technologies at HCD. You will own the development of key features for our database, messaging, and data warehouse platforms. Your work will directly enable our engineering teams to build high-performance, data-intensive applications. You will mentor other engineers, collaborate with customer teams, and contribute to the technical roadmap for your area. - Design, build, and maintain key components of our data platform automation for provisioning, backups, and user management. - Troubleshoot and resolve complex performance and reliability issues in our data systems, often serving as an escalation point for the team. - Proactively identify opportunities to improve data streaming services, security, scalability, and automation. - Participate in an on-call rotation to support the team's critical services. - Mentor junior engineers on the team, providing guidance on database administration, query optimization, and DBRE principles. - Contribute to the technical roadmap by researching new data technologies and proposing innovative solutions. Qualifications - 5 years of applicable experience - Strong experience with messaging platforms (Kafka/Redis) - Experience with Infrastructure as Code (IaC) - Proficient in at least one scripting language (e.g., Bash, Python) - Solid experience with at least one major cloud provider (Azure or AWS preferred) and their managed offerings Requirements - A product mindset and empathy for developer customers, with experience helping teams design scalable data models. - A pragmatic approach to problem-solving and a proven ability to deliver complex technical projects. - Experience with GitHub Actions or similar pipeline technologies. Education - Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience. Benefits - Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. - Medical, dental, and vision coverage. - Paid time off. - Retirement savings options. - Wellness programs and other resources, based on eligibility.

• Lead the design and evolution of scalable data, analytics, and AI platforms • Architect and optimize Databricks-based data pipelines and enterprise data platforms • Drive the development of machine learning, NLP, Generative AI, and operational intelligence capabilities • Deliver actionable insights and executive-level reporting • Establish engineering standards, governance frameworks, and best practices for data quality • Partner across Product, Operations, Engineering, and AI teams • Provide technical leadership, coaching, and day-to-day guidance to engineers and data scientists