IT Manufacturing Engineer Infrastructure -Onsite in Glendale, AZ

Remote • Posted 9 hours ago • Updated 9 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Business Continuity Planning
  • Network
  • Leadership
  • Collaboration
  • Data Integrity
  • Backup
  • Virtual Machines
  • High-availability Clusters
  • Technical Support
  • Finance
  • Layout
  • Performance Monitoring
  • Microservices
  • Capacity Management
  • SLA
  • FOCUS
  • MEAN Stack
  • Recovery
  • Cost Management
  • Optimization
  • Systems Engineering
  • Virtualization
  • Storage
  • Servers
  • Hypervisor
  • VMware
  • Docker
  • Routing
  • Firewall
  • Switches
  • Computer Networking
  • Load Balancing
  • Scripting
  • Python
  • Bash
  • Windows PowerShell
  • Manufacturing Operations
  • Soft Skills
  • Communication
  • Terraform
  • Ansible
  • Continuous Integration
  • Continuous Delivery
  • Cisco
  • Palo Alto
  • Amazon Web Services
  • Infrastructure Architecture
  • Computer Hardware
  • Cloud Computing
  • Orchestration
  • Kubernetes
  • Management
  • IoT
  • DevOps
  • Manufacturing
  • Workflow
  • Training
  • eXist

Summary

100% Onsite in Glendale, AZ

Mark Anthony Group is an entrepreneurial drinks company, built from the ground up by thinking differently, innovating and doing the unexpected. Our company is rooted in family values, a bold vision and relentless determination to continuously raise the bar and make a positive difference in consumers' lives. Founded in 1972, we've grown organically from a one-person import wine business into an international drinks company whose hallmarks include a portfolio of luxury wineries and iconic beverage brands, including White Claw Hard Seltzer, Mike's Hard Lemonade, and Cayman Jack.

Responsible for designing, implementing, and maintaining the resilient server, network, and containerized infrastructure that powers the organization's IT and OT environments. You will leverage industry best practices to manage Kubernetes orchestration, virtualized resources, and software-defined networking to ensure peak performance. Beyond core maintenance, you will provide expert daily operational support to guarantee business continuity, proactively identifying opportunities to automate workflows, optimize resource density, and scale systems in alignment with evolving manufacturing needs.

Accountabilities:

  • Scalable Architecture: Evolve network and compute architecture to support OT expansion, ensuring the infrastructure can handle high throughput demands.
  • Unified Governance: Establish and enforce naming conventions and tagging schemas across the stack, from physical switches to Kubernetes resources.
  • Standardization Leadership: Collaborate in defining global infrastructure standards, integrating container security policies and hardware specifications.
  • Resilience & Data Integrity: Design and manage Backup and Disaster
  • Recovery (DR) strategies for manufacturing locations, focusing on VMs and containerized workloads.
  • Operational Continuity: Ensure maximum uptime for manufacturing by maintaining high-availability clusters and leveraging self-healing capabilities.
  • On-Site Technical Support: Provide hands-on desktop and systems support to plant users, acting as the bridge between shop-floor needs and centralized IT.

Key Metrics & Financial Targets:

  • Infrastructure Efficiency: Successful optimization of datacenter layout and container density.
  • Performance Monitoring: Identification of bottlenecks, including microservices latency and K8s traffic.
  • Capacity Planning: Analysis of resource usage versus future needs using predictive scaling.
  • Service Reliability: Meeting OLA/SLA targets with a focus on Mean Time to Recovery (MTTR).
  • Resource Cost Management: Optimization of spend by right-sizing volumes and reducing unused resources.
  • Customer Excellence: Improving system uptime and deployment cycles through automated orchestration.


Skills Needed To Be Successful:

  • Experience & Education: 5+ years of related work experience in enterprise infrastructure or systems engineering.
  • Virtualization & Compute: Deep knowledge of storage, servers, and Hypervisors (VMware preferred).
  • Containerization & Orchestration: * Hands-on experience with Docker or similar container runtimes.
  • Proficiency in Kubernetes (K8s) orchestration (clusters, pods, and namespaces).
  • Networking & Security: * Strong knowledge of routing, firewalls, OOB management, and switching.
  • Familiarity with Cloud Native Networking (CNI) and Load Balancing.
  • Automation & Scripting: Advanced scripting skills (Python, Bash, or PowerShell).
  • Domain Expertise: Understanding of manufacturing operations and IT/OT integration.
  • Soft Skills: Strong communication, exceptional troubleshooting, and a "self-starter" mindset.

Nice to Have (Not Required):

  • Experience with Infrastructure as Code (Terraform, Ansible).
  • Exposure to CI/CD pipelines and automated deployment workflows.
  • Technical certifications (Cisco, Palo Alto, AWS, or CNCF CKA/CKAD).

What You Will Learn In This Role:

  • Modern Infrastructure Architecture: Mastery in transitioning from legacy hardware to scalable, containerized environments.
  • Cloud-Native Orchestration: Hands-on experience managing Kubernetes in a production manufacturing context.
  • IT/OT Convergence: Direct exposure to industrial applications, Edge Computing, and IoT integration.
  • DevOps Methodologies: Learning how to apply automated pipelines to streamline manufacturing workflows.

Compensation & Benefits:

  • Competitive annual salary and performance-based bonus plan.
  • Comprehensive health and welfare benefits.
  • Company matching 401(k) contributions.
  • Paid time off (annual leave, sick time, and holidays).
  • Extensive opportunities for training and career growth.

At Mark Anthony, we exist to Unearth the Extraordinary: We are Best in Our Craft, Ambitiously Curious, Made With Humility, and Daringly Disruptive. We disrupt the status quo, move fast to seize opportunities, and act scrappy to stay ahead of industry giants.
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.
  • Dice Id: vonqfeed2
  • Position Id: 954717186
  • Posted 9 hours ago
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