Senior Platform Engineer – Cloud & AI Platform

Dayforce

Senior Platform Engineer designing and building scalable cloud platform for engineering teams leveraging AI. Collaborating cross-functionally to enhance platform reliability and developer experience.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable cloud platform infrastructure, with a strong focus on Infrastructure as Code, CI/CD pipeline development, and cloud security best practices. Proficient in leveraging AI-assisted development tools to enhance engineering workflows and ensure compliance and quality.

Highest-signal resume keywords

Infrastructure As Code (IaC)AWS Cloud ManagementCI/CD Pipeline DevelopmentContainer Technologies (Docker, Kubernetes)Cloud Security Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TerraformCloudFormationPythonGoBashJenkinsGitLab CIGitHub ActionsDatadogPrometheus

Soft Skills

MentoringCollaborationTechnical Guidance

Tools & Technologies

AnsibleCircleCIGrafanaAI-Assisted Development ToolsGitHub Copilot

Industry Keywords

Cloud EngineeringPlatform OperationsObservabilityNetworkingAI Integration

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudDockerGoGrafanaJenkinsKubernetesLinuxPrometheusPythonTerraform

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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