Architect, DevOps (Cloud Engineering & API Technologies) - Retail Engineering

Overview

USD 175,800.00 - 312,200.00 per year
Full Time

Skills

Retail
Media
Optimization
Continuous Improvement
Marketing
Electronic Commerce
Stacks Blockchain
Collaboration
IaaS
Scalability
Amazon Web Services
Microsoft Azure
Python
Java
Software Release Life Cycle
Continuous Integration
Continuous Delivery
Jenkins
Cloud Computing
Software Engineering
Linux
Version Control
Git
Apache Subversion
DevOps
Splunk
Analytics
Docker
Kubernetes
API
Management
Web Servers
Apache HTTP Server
Nginx
HAProxy
Computer Science
Payments

Job Details

Marcom is the globally led creative team responsible for Apple's consumer-facing marketing. We ensure the seamless execution of world-class communications across all media and platforms. Every day, hundreds of millions of Apple customers worldwide interact with our products. We drive the strategic and creative work that provides both new and existing customers with simple, engaging, and inspiring marketing experiences. As MP&S DevOps Org, we are committed to continuous learning and delivering solutions on a global scale. By working with a diverse range of multi-functional teams, we are able to combine the best of our expertise to create interactive experiences with a talented group of software engineers. We thoroughly enjoy the process! You will lead architecture, implementation and optimization efforts of cloud platforms, smooth software delivery pipelines, and collaborating with development and operations teams to promote a culture of continuous improvement, while also influencing strategic decisions regarding infrastructure and automation tools

Description As a DevOp Architect, you will be a core team member driving digital transformation of our marketing/e-commerce website. You will influence the design, scale, and management of cloud infrastructure, CI/CD pipelines and application stacks. You will collaborate closely with cross-functional teams, including developers, architects, and operations teams, to ensure that our cloud infrastructure, Build pipelines, services, and applications are optimized for scalability and resilience. Develop platforms to enable application growth and availability Influence our growing cloud footprint Build solutions that scale without resource constraints

Minimum Qualifications
  • Hands-on experience in infrastructure engineering, cloud engineering, DevOps, or software engineering
  • Experience in building and supporting mission-critical, large-scale systems and/or services
  • Ability to analyze complex technical issues and propose solutions
  • Proficient in Linux systems and source control management, including Git and SVN.
  • Experience with systems such as Splunk/PrometheGrafana that prioritize observability, covering log aggregation, analytics, monitoring, distributed systems tracing, and alerting.
  • Experience with Docker, Kubernetes, and managed solutions like EKS or GKE
  • Proficiency in web servers and load balancers such as Apache HTTP Server, Nginx, HAProxy
  • Proficiency in cloud platforms such as AWS, GCE, Azure, or similar
  • Proficiency in one of the programming language such as Python, Go, Java
  • Experience in building build/release (CI/CD) systems using Jenkins, spinnaker, Harness or similar
  • 10-12 years of IT work experience, including 4 or more years as an Engineering Architect

Preferred Qualifications
  • Hands-on experience in infrastructure engineering, cloud engineering, DevOps, or software engineering
  • Experience in architecting and supporting mission-critical, large scale systems and/or services
  • Proficiency in Linux systems and source control management, including Git and SVN.
  • Evaluate and select appropriate DevOps tools and technologies, including infrastructure as code (IaC) platforms, automation frameworks, and monitoring systems. And make recommendations on future directions
  • Experience with systems such as Splunk/PrometheGrafana that prioritize observability, covering log aggregation, analytics, monitoring, distributed systems tracing, and alerting.
  • Experience with Docker, Kubernetes, and managed solutions like EKS or GKE
  • Deep understanding of API design, development, integration principles, infrastructure management.
  • Expertise in web servers and load balancers such as Apache HTTP Server, Nginx, HAProxy
  • BS or MS in Engineering, Computer Science or equivalent education/experience.

Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.