DevOps Developer

Ralph Lauren

New York (NY)

On-site

USD 68,000 - 106,000

Full time

14 days+

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Job summary

Ralph Lauren in New York seeks a DevOps Engineer to design, implement, and maintain automation, infrastructure, and deployment processes that ensure reliable software delivery across teams.

You will build CI/CD pipelines, manage IaC with Terraform/CloudFormation/Ansible, and operate cloud platforms (AWS/Azure/GCP) plus containerized workloads with Docker and Kubernetes, while enforcing security and observability.

Qualifications

  • 3+ years of experience in DevOps, Cloud Engineering, SRE, Infrastructure Engineering, or related roles with Automation mindset.

Responsibilities

  • Design, develop, and maintain CI/CD pipelines for automated build, test, deployment, and release processes.

Skills

CI/CD pipelines
Automation
DevSecOps
Incident management
Troubleshooting
Collaboration

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

Tools

Jenkins
GitHub Actions
GitLab CI/CD
Azure DevOps
Bitbucket
Docker
Kubernetes
Terraform
CloudFormation
Ansible
Python
Git
Datadog
CloudWatch
Catchpoint

Job description

Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands.

At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration.

The DevOps Engineer is responsible for designing, implementing, and maintaining the automation, infrastructure, deployment, and operational processes that enable reliable and efficient software delivery. This role works closely with development, QA, security, infrastructure, and operations teams to build and maintain CI/CD pipelines, cloud infrastructure, containerized environments, monitoring solutions, and automated deployment processes. The DevOps Engineer will help improve application availability, scalability, security, deployment frequency, and overall engineering productivity by applying Infrastructure as Code, automation, DevSecOps, cloud technologies, and modern software delivery practices. Devops Engineer should also be supporting production operations and monitoring the platforms.

  • Design, develop, and maintain CI/CD pipelines for automated build, test, deployment, and release processes.
  • Automate application and infrastructure deployment across development, testing, staging, and production environments.
  • Implement and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or Ansible.
  • Build and maintain cloud infrastructure using AWS, Azure, or Google Cloud Platform.
  • Develop and manage containerized applications using Docker and Kubernetes.
  • Implement automated configuration management, provisioning, and environment management.
  • Manage source-code repositories and branching strategies using Git, GitHub, GitLab, Bitbucket, or Azure Repos.
  • Integrate automated unit, integration, security, performance, and regression testing into CI/CD pipelines.
  • Implement DevSecOps practices, including vulnerability scanning, secrets management, dependency scanning, and security controls within pipelines.
  • Establish and maintain application and infrastructure monitoring, logging, alerting, and observability using DataDog, CatchPoint.
  • Troubleshoot deployment failures, infrastructure issues, performance problems, and production incidents.
  • Participate in incident management, root-cause analysis, and corrective/preventive action planning.
  • Implement high-availability, scalability, backup, disaster-recovery, and business-continuity solutions.
  • Automate repetitive operational activities.
  • Collaborate with developers to improve application architecture, deployment processes, and operational readiness.
  • Support release management and production deployments while minimizing deployment risk and downtime.
  • Establish DevOps standards, best practices, reusable pipeline templates, and engineering guidelines.
  • Continuously evaluate new tools and technologies to improve deployment speed, reliability, scalability, and engineering efficiency.
  • Maintain technical documentation for infrastructure, deployment procedures, architecture, troubleshooting, and operational processes.

Salary range: $68,200 - $105,525 annually,

Cloud Platforms
  • AWS, Azure, ETL
  • Cloud networking, IAM, compute, storage, databases, and security
  • High availability and disaster recovery concepts
CI/CD & DevOps
  • Jenkins
  • GitHub Actions
  • GitLab CI/CD
  • Azure DevOps
  • Bitbucket
Containers & Orchestration
  • Docker
  • Kubernetes
Infrastructure as Code & Automation
  • Terraform
  • CloudFormation
  • Python
Source Control
  • Git
  • GitHub
  • GitLab
  • Bitbucket
Monitoring & Observability
  • Catchpoint
  • Datadog
  • CloudWatch/Azure Monitor
Security / DevSecOps
  • SAST/DAST
  • Container security
  • Dependency and vulnerability scanning
  • Secrets management
  • IAM and RBAC
  • Security compliance automation
  • Sonar Cube
Operating Systems & Networking
  • Windows Server
  • TCP/IP, DNS, HTTP/HTTPS
  • Load balancers
  • Firewalls
  • Networking and troubleshooting
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 3+ years of experience in DevOps, Cloud Engineering, SRE, Infrastructure Engineering, or related roles with Automation mindset.
  • Understanding of Agile/Scrum and AI SDLC methodologies.
  • Experience with production incident management and troubleshooting.
  • Knowledge of DevSecOps and cloud security practices.
  • Relevant cloud or DevOps certifications are a plus.
  • Knowledge of SFCC platform.
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