
5001 - 10000 employees
👥 HR Tech
☁️ SaaS
🤝 B2B
💰 $1G Post-IPO Debt - Dayforce on 2024-03
HR Tech • SaaS • B2B
Dayforce is a cloud-based human capital management (HCM) platform that provides payroll, HR, workforce management, time and attendance, benefits administration, talent management, and analytics for employers. Delivered as a software-as-a-service solution and used by organizations to centralize HR and payroll processes, Dayforce targets business customers and enterprises seeking integrated workforce and payroll systems. The provided page content contained only a browser loading message and no detailed information, so established public knowledge about Dayforce was used to produce this description.
🔥 1 hour ago
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5001 - 10000 employees
👥 HR Tech
☁️ SaaS
🤝 B2B
💰 $1G Post-IPO Debt - Dayforce on 2024-03
HR Tech • SaaS • B2B
Dayforce is a cloud-based human capital management (HCM) platform that provides payroll, HR, workforce management, time and attendance, benefits administration, talent management, and analytics for employers. Delivered as a software-as-a-service solution and used by organizations to centralize HR and payroll processes, Dayforce targets business customers and enterprises seeking integrated workforce and payroll systems. The provided page content contained only a browser loading message and no detailed information, so established public knowledge about Dayforce was used to produce this description.
• Design, build, and maintain scalable, secure, and highly available cloud platform infrastructure. • Develop Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or Ansible. • Manage and optimize AWS, Azure, or Google Cloud environments for performance, reliability, scalability, and cost efficiency. • Build and enhance CI/CD pipelines that automate software delivery and infrastructure deployment. • Partner with software engineering teams to improve platform capabilities and developer experience. • Monitor platform health, troubleshoot production issues, and drive continuous operational improvements. • Implement security best practices across infrastructure, pipelines, and cloud environments. • Use AI-assisted development tools such as GitHub Copilot, Claude Code, or similar technologies to accelerate infrastructure development while validating quality, security, and maintainability. • Build and support the platform capabilities that enable engineering teams to safely adopt AI agents, including model access, MCP servers and gateways, tool integrations, identity management, and governance controls. • Extend observability and auditing capabilities to AI-driven workflows, ensuring agent actions are secure, traceable, and compliant. • Research emerging cloud, platform engineering, and AI technologies to continuously improve engineering practices. • Mentor engineers through technical guidance, code reviews, and knowledge sharing. • Support onboarding and development of new team members. • Participate in technical interviews and contribute to hiring decisions. • Collaborate with architecture teams to recommend platform improvements and long-term technical direction. • Champion responsible AI adoption by establishing best practices, evaluating emerging tools, and helping engineering teams effectively integrate AI into their daily workflows.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience. • 6+ years of experience in software, platform, DevOps, or cloud engineering. • Strong experience with one or more major cloud providers (AWS preferred, Azure or Google Cloud also considered). • Experience building Infrastructure as Code using Terraform, CloudFormation, or similar tools. • Experience with container technologies such as Docker and Kubernetes. • Proficiency with scripting or programming languages such as Python, Go, or Bash. • Hands-on experience building and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI, GitHub Actions, CircleCI, or similar. • Strong understanding of networking, cloud security, Linux systems, and platform operations. • Experience with observability and monitoring tools such as Datadog, Prometheus, Grafana, or similar. • Experience using AI-assisted development tools in a professional engineering environment and the ability to critically evaluate AI-generated code and infrastructure.
• Full benefits starting Day 1: Medical, Dental, and Vision • 401(k) with company match • Unlimited Flex Time Off plus 10 company-paid holidays • Remote-first role with monthly communication stipend • Professional development programs, tuition assistance, and quarterly book program • Free wellness coaching and pet insurance • Home office equipment stipend • Employee resource groups and exclusive employee discounts
Apply Now🔥 1 hour ago
Cloud Product Engineer developing and operating Allstate’s Cloud platforms. Leading engineering practices and mentoring teams while ensuring platform efficiency and operational excellence.
🇺🇸 United States – Remote
💵 $134k - $200k / year
💰 Post-IPO Equity on 2014-01
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☁️ Cloud Engineer
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