
5001 - 10000 employees
👥 HR Tech
☁️ SaaS
🏢 Enterprise
💰 $1G Post-IPO Debt - Dayforce on 2024-03
HR Tech • SaaS • Enterprise
Dayforce is a cloud-based human capital management (HCM) platform that provides payroll, HR, workforce management, time and attendance, and talent management functionality. Offered by Ceridian, Dayforce is designed to serve organizations with integrated, real-time HR and payroll processes delivered as a SaaS application for enterprise and mid-market customers.
🔥 9 minutes ago
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5001 - 10000 employees
👥 HR Tech
☁️ SaaS
🏢 Enterprise
💰 $1G Post-IPO Debt - Dayforce on 2024-03
HR Tech • SaaS • Enterprise
Dayforce is a cloud-based human capital management (HCM) platform that provides payroll, HR, workforce management, time and attendance, and talent management functionality. Offered by Ceridian, Dayforce is designed to serve organizations with integrated, real-time HR and payroll processes delivered as a SaaS application for enterprise and mid-market customers.
• Solution Design & Delivery: Work with clients to understand requirements, shape technical solutions, and deliver Agentic AI and GenAI workloads on Azure. • Build production‑grade applications with CI/CD, monitoring, and observability. • GenAI & RAG Engineering: Develop robust RAG pipelines, optimise prompts, improve latency/cost, and design evaluation/test frameworks for LLM‑based systems. • MLOps & Platform Engineering: Implement MLOps with Azure ML/Databricks including experiment tracking, model registry, feature stores, automated deployment, and IaC. • Data & Integration: Work with data engineers across ADLS, Delta Lake, EventHub, Synapse/Fabric, APIs, and vector databases to enable scalable hybrid retrieval architectures. • Security, Governance & Consulting: Apply enterprise-grade security (Entra, networking, secrets, RBAC), embed responsible AI practices, and produce HLD/LLDs. Lead workshops, present to stakeholders, mentor engineers, and contribute to reusable components and accelerators.
• 7–10+ years in software/data/AI engineering, including 1 year in Agentic AI. • Experience delivering enterprise Search/RAG/virtual agent solutions on Azure. • Strong hands-on skills with Azure, Databricks, and Azure ML. • Proven technical leadership, mentoring, and cross-team collaboration. • Preferably: code/design artefacts, Azure/Databricks certifications, or related academic background.
• Enjoy a supportive workplace that promotes inclusion, flexibility, diversity, and celebrates differences. • Take advantage of largely working from home in our remote/hybrid workplace and enjoy the flexibility to balance your life. • Be part of a team that leverages modern technologies to solve real problems and provides top level of customer satisfaction. • Work with a Microsoft Partner of the Year award winner with multiple specialisations. • Be supported by experienced peers and leaders that value technical expertise and encourages innovation, with clear career pathways and ongoing learning. • Thrive in a community with strong values #BeTrue #TeamUp #StandOut #ThinkAhead #FearLessAchieveMore
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