
5001 - 10000 employees
π₯ HR Tech
βοΈ SaaS
π€ B2B
π° $1G Post-IPO Debt - Dayforce on 2024-03
HR Tech β’ SaaS β’ 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.
π₯ 7 minutes ago
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5001 - 10000 employees
π₯ HR Tech
βοΈ SaaS
π€ B2B
π° $1G Post-IPO Debt - Dayforce on 2024-03
HR Tech β’ SaaS β’ 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.
β’ Design, build, and maintain scalable, secure, and highly available cloud platform infrastructure. β’ Develop Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or Ansible. β’ Manage and optimize AWS, Azure, or Google Cloud environments for performance, reliability, scalability, and cost efficiency. β’ Build and enhance CI/CD pipelines that automate software delivery and infrastructure deployment. β’ Partner with software engineering teams to improve platform capabilities and developer experience. β’ Monitor platform health, troubleshoot production issues, and drive continuous operational improvements. β’ Implement security best practices across infrastructure, pipelines, and cloud environments. β’ Use AI-assisted development tools such as GitHub Copilot, Claude Code, or similar technologies to accelerate infrastructure development while validating quality, security, and maintainability. β’ 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. β’ Extend observability and auditing capabilities to AI-driven workflows, ensuring agent actions are secure, traceable, and compliant. β’ Research emerging cloud, platform engineering, and AI technologies to continuously improve engineering practices. β’ Mentor engineers through technical guidance, code reviews, and knowledge sharing. β’ Support onboarding and development of new team members. β’ Participate in technical interviews and contribute to hiring decisions. β’ Collaborate with architecture teams to recommend platform improvements and long-term technical direction. β’ Champion responsible AI adoption by establishing best practices, evaluating emerging tools, and helping engineering teams effectively integrate AI into their daily workflows.
β’ Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience. β’ 6+ years of experience in software, platform, DevOps, or cloud engineering. β’ Strong experience with one or more major cloud providers (AWS preferred, Azure or Google Cloud also considered). β’ Experience building Infrastructure as Code using Terraform, CloudFormation, or similar tools. β’ Experience with container technologies such as Docker and Kubernetes. β’ Proficiency with scripting or programming languages such as Python, Go, or Bash. β’ Hands-on experience building and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI, GitHub Actions, CircleCI, or similar. β’ Strong understanding of networking, cloud security, Linux systems, and platform operations. β’ Experience with observability and monitoring tools such as Datadog, Prometheus, Grafana, or similar. β’ Experience using AI-assisted development tools in a professional engineering environment and the ability to critically evaluate AI-generated code and infrastructure.
β’ Full benefits starting Day 1: Medical, Dental, and Vision β’ 401(k) with company match β’ Unlimited Flex Time Off plus 10 company-paid holidays β’ Remote-first role with monthly communication stipend β’ Professional development programs, tuition assistance, and quarterly book program β’ Free wellness coaching and pet insurance β’ Home office equipment stipend β’ Employee resource groups and exclusive employee discounts
Apply Nowπ₯ 23 minutes ago
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πΊπΈ United States β Remote
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π° Post-IPO Equity on 2014-01
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