• Be the technical point-of-contact during trials, running both standardized and custom benchmarks to prove our value. • Design, run, and analyze benchmarks across customer workloads — including comparisons against AWS, Lambda, and others. • Diagnose performance issues (GPU utilization, NCCL setup, container configs) and recommend fixes. • Package results into clear, credible reports and handoffs that make technical findings easy to act on. • Own and maintain the scripts, containers, and environments used to validate performance across SKUs and setups. • Identify performance gaps, optimize cluster configs, and work with supply and engineering to close the loop.

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce. Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally. Must be a US citizen, naturalized citizen, green card holder or permanent resident and authorized to work without sponsorship About the opportunity We are seeking a highly skilled Principal Cloud Infrastructure Engineer with deep expertise in Terraform/Terraform Cloud, Azure, AWS, and CI/CD automation to join our Cloud Infrastructure Engineering and Automation (CIEA) team. In this senior individual contributor role, you will serve as a technical authority in designing, implementing, and scaling cloud infrastructure that powers Dayforce's next-generation cloud-native platforms. You will drive Infrastructure as Code (IaC) best practices across multi-tenant environments, lead image build pipeline strategy, and establish engineering standards that enable secure, consistent, and reliable deployments at enterprise scale. This role demands someone who operates with autonomy, influences architecture decisions, and elevates the engineers around them. What you'll get to do Infrastructure Design & Automation - Architect and deliver reusable Terraform modules and automation workflows for deploying Azure and AWS infrastructure at scale across multi-tenant environments. - Drive Terraform Cloud workspace strategy including state management, drift detection, variable management, and Sentinel policy enforcement. - Design and maintain Azure Compute Gallery (ACG) image build pipelines using Packer (HCL) and Ansible, including multi-region replication and cross-tenant image promotion workflows. - Implement OIDC federation for secure, secretless authentication between GitHub Actions and Azure/AWS. CI/CD & Platform Engineering - Own and improve GitHub Actions pipelines with self-hosted runners as the primary CI/CD platform — no Azure DevOps. - Implement and mature GitOps workflows using ArgoCD for Kubernetes workloads running on AKS. - Build and maintain automation tooling in Python and Bash supporting image promotion, compliance scanning, and deployment orchestration. Security & Compliance - Lead compliance scanning integration using Wiz, replacing legacy OpenSCAP tooling, and drive remediation workflows aligned to NIST 800-53 and PBMM (PROTECT B) frameworks. - Conduct risk assessments, threat modeling, and vulnerability management for cloud workloads across Hub and spoke tenant architectures. - Implement and manage HashiCorp Vault for secrets brokering across CI/CD pipelines and infrastructure deployments. Standards & Mentorship - Set technical direction through architecture reviews, code reviews, and documentation that elevates platform engineering practice. - Mentor engineers on IaC patterns, security posture, and DevSecOps principles. - Partner with security, product, and engineering teams to ensure infrastructure is secure, scalable, and operationally excellent. Skills and experience we value - 8+ years in cloud infrastructure, DevOps, or platform engineering roles with demonstrated senior or principal-level scope. - Advanced proficiency with Terraform and Terraform Cloud — modules, workspaces, state, policy enforcement. - Hands-on experience with Packer (HCL templates) and Ansible for automated image builds. - Deep experience with GitHub Actions CI/CD including self-hosted runners and OIDC-based authentication to cloud providers. - Strong Azure expertise — AKS, ACR, Azure Compute Gallery, networking, RBAC, identity, and security. - Experience with HashiCorp Vault for secrets management in enterprise environments. - Proficient in Python and Bash for infrastructure automation and tooling. - Familiarity with compliance frameworks such as NIST 800-53 or Canadian PBMM (PROTECT B). - Experience with Wiz or equivalent CSPM/compliance scanning platforms. What would make you really stand out - Experience with ArgoCD and GitOps patterns on Kubernetes (AKS). - Grafana dashboard development for infrastructure observability. - AWS infrastructure experience alongside Azure. What’s in it for you Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment. We encourage individuals to apply based on their passions. Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits. With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself. About the Salary Ranges Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization. Fraudulent Recruiting Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process #LI-Remote

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce. Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally. Must be a US citizen, naturalized citizen, green card holder or permanent resident and authorized to work without sponsorship About the opportunity We are seeking a highly skilled Principal Cloud Infrastructure Engineer with deep expertise in Terraform/Terraform Cloud, Azure, AWS, and CI/CD automation to join our Cloud Infrastructure Engineering and Automation (CIEA) team. In this senior individual contributor role, you will serve as a technical authority in designing, implementing, and scaling cloud infrastructure that powers Dayforce's next-generation cloud-native platforms. You will drive Infrastructure as Code (IaC) best practices across multi-tenant environments, lead image build pipeline strategy, and establish engineering standards that enable secure, consistent, and reliable deployments at enterprise scale. This role demands someone who operates with autonomy, influences architecture decisions, and elevates the engineers around them. What you'll get to do Infrastructure Design & Automation - Architect and deliver reusable Terraform modules and automation workflows for deploying Azure and AWS infrastructure at scale across multi-tenant environments. - Drive Terraform Cloud workspace strategy including state management, drift detection, variable management, and Sentinel policy enforcement. - Design and maintain Azure Compute Gallery (ACG) image build pipelines using Packer (HCL) and Ansible, including multi-region replication and cross-tenant image promotion workflows. - Implement OIDC federation for secure, secretless authentication between GitHub Actions and Azure/AWS. CI/CD & Platform Engineering - Own and improve GitHub Actions pipelines with self-hosted runners as the primary CI/CD platform — no Azure DevOps. - Implement and mature GitOps workflows using ArgoCD for Kubernetes workloads running on AKS. - Build and maintain automation tooling in Python and Bash supporting image promotion, compliance scanning, and deployment orchestration. Security & Compliance - Lead compliance scanning integration using Wiz, replacing legacy OpenSCAP tooling, and drive remediation workflows aligned to NIST 800-53 and PBMM (PROTECT B) frameworks. - Conduct risk assessments, threat modeling, and vulnerability management for cloud workloads across Hub and spoke tenant architectures. - Implement and manage HashiCorp Vault for secrets brokering across CI/CD pipelines and infrastructure deployments. Standards & Mentorship - Set technical direction through architecture reviews, code reviews, and documentation that elevates platform engineering practice. - Mentor engineers on IaC patterns, security posture, and DevSecOps principles. - Partner with security, product, and engineering teams to ensure infrastructure is secure, scalable, and operationally excellent. Skills and experience we value - 8+ years in cloud infrastructure, DevOps, or platform engineering roles with demonstrated senior or principal-level scope. - Advanced proficiency with Terraform and Terraform Cloud — modules, workspaces, state, policy enforcement. - Hands-on experience with Packer (HCL templates) and Ansible for automated image builds. - Deep experience with GitHub Actions CI/CD including self-hosted runners and OIDC-based authentication to cloud providers. - Strong Azure expertise — AKS, ACR, Azure Compute Gallery, networking, RBAC, identity, and security. - Experience with HashiCorp Vault for secrets management in enterprise environments. - Proficient in Python and Bash for infrastructure automation and tooling. - Familiarity with compliance frameworks such as NIST 800-53 or Canadian PBMM (PROTECT B). - Experience with Wiz or equivalent CSPM/compliance scanning platforms. What would make you really stand out - Experience with ArgoCD and GitOps patterns on Kubernetes (AKS). - Grafana dashboard development for infrastructure observability. - AWS infrastructure experience alongside Azure. What’s in it for you Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment. We encourage individuals to apply based on their passions. Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits. With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself. About the Salary Ranges Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization. Fraudulent Recruiting Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process #LI-Remote

Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine. About the role You'll join one of several teams building the low-level systems behind CAST AI's multi-cloud automation platform. The work sits at the intersection of Kubernetes, cloud infrastructure, and Linux. Depending on your strengths, you'll work in one of these areas: - Cluster and node lifecycle - custom node bootstrapping across AWS, GCP, and Azure. Controllers and operators managing full node lifecycle. Bridging the gap between autoscaler decisions and running VMs - including working around limitations of managed Kubernetes platforms like EKS, GKE, and AKS. - Cross-cloud provisioning - orchestrating infrastructure across regions and clouds. Workflow orchestration, provisioning integrations, networking and identity across cloud boundaries. - Live container migration - zero-downtime relocation of running containers using CRIU checkpoint/restore, custom CRI-O and runc forks, and forked cloud CNI plugins. Memory page transfer, TCP session migration, process-level checkpoint/restore. Kernel-level Linux engineering applied to Kubernetes. - Storage optimization - dynamic volume rightsizing, BtrFS compression, custom CSI drivers. Full storage stack from cloud disk APIs through filesystem internals to Kubernetes PV/PVC lifecycle. Common across all teams: Go, deep Kubernetes, multi-cloud, building beyond what the ecosystem offers. How we build We invest heavily in agentic development and AI-powered tooling. Engineers work with code agents and automated workflows daily. We expect you to shape how these tools evolve. Requirements: - Strong backend fundamentals and production-grade coding, preferably Go. - Hands-on Kubernetes internals, cloud infrastructure, or large-scale distributed systems experience. - Clear English communication, collaborative and self-directed. - Bias toward action and ownership. What would make you stand out - Deep knowledge of EKS, GKE, or AKS internals. - Low-level Linux experience: process internals, networking (NAT, iptables, conntrack, SDN), filesystems, storage. - Kubernetes or cloud-native OSS contributions. - Cloud storage depth - block storage, CSI, volume management, filesystem internals. - Container runtime experience (CRI-O, runc, containerd) or CRIU. - Experience with AI coding agents and agentic development workflows. - Comfort building where there's no playbook. Responsibilities: - Design, build, and operate backend services, Kubernetes operators, and controllers in Go across AWS, GCP, and Azure. - Solve infrastructure-layer problems — networking, scheduling, storage, compute, or container runtime internals. - Build and maintain high-throughput services (gRPC/REST) and async orchestration workflows. - Shape public and internal APIs. - Leverage and improve AI-powered development workflows. - Participate in design reviews, code reviews, on-call, and customer deep-dives. What’s in it for you? - Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) - Enjoy a flexible, remote-first global environment. - Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. - Equity options. - Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. - Spend 10% of your work time on personal projects or self-improvement. - Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. - Annual hackathon to spark new ideas and strengthen team bonds. - Team-building budget and company events to connect with your colleagues. - Equipment budget to ensure you have everything you need. - Extra days off to help maintain a healthy work-life balance. Hiring process - Screening call with Recruiter - Hiring Manager interview - Technical interview (system design) - Live coding - Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote