DevOps Engineering Manager - Cloud Platforms Lead

Plexus Worldwide

Scottsdale (AZ)

On-site

USD 140,000 - 190,000

Full time

12 days ago

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Benefits offered by this job

Medical plans
401(k) with match

Job summary

Plexus Worldwide is seeking a hands-on Manager of DevOps Engineering to design, build, and operate scalable, cloud-native systems in Scottsdale, AZ. You will lead a small team while actively contributing to infrastructure, pipelines, and production reliability, accelerating delivery and reducing operational overhead.

The role emphasizes ownership of cloud infrastructure, IaC, and end-to-end DevOps strategy, with a strong focus on performance, observability, and cross‑functional collaboration

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related discipline.
  • 5+ years in DevOps or SRE roles, with 3+ years of direct people leadership.

Responsibilities

  • Lead the end-to-end design and continuous improvement of DevOps and SRE practices.
  • Own CI/CD systems, cloud-native infrastructure, and deployment strategies across environments.
  • Actively design, build, and maintain cloud infrastructure (AWS, EKS, networking, IAM).
  • Write and maintain infrastructure as code (Terraform/CloudFormation).
  • Troubleshoot complex production issues and performance bottlenecks.

Skills

AWS
Kubernetes
CI/CD
IaC
Config Management
API Gateway
Leadership

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Terraform
CloudFormation
Jenkins
GitLab CI/CD
CircleCI
New Relic
Dynatrace
Ansible
Puppet
Chef
AWS API Gateway
Apigee

Job description

Plexus Worldwide is seeking a hands-on Manager of DevOps Engineering to design, build, and operate scalable, cloud-native systems in Scottsdale, AZ. You will lead a small team while actively contributing to infrastructure, pipelines, and production reliability, accelerating delivery and reducing operational overhead.

The role emphasizes ownership of cloud infrastructure, IaC, and end-to-end DevOps strategy, with a strong focus on performance, observability, and cross‑functional collaboration

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