Senior DevOps Engineers

Detroit, MI, US • Posted 16 hours ago • Updated 3 hours ago
Full Time
On-site
USD $50.00 - 55.00 per hour
Fitment

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Job Details

Skills

  • IaaS
  • Reliability Engineering
  • Continuous Improvement
  • FOCUS
  • Environment Management
  • Lifecycle Management
  • Load Balancing
  • Continuous Integration
  • Continuous Delivery
  • Provisioning
  • Ansible
  • Puppet
  • Progress Chef
  • Technical Writing
  • Incident Management
  • Collaboration
  • DevOps
  • Amazon Web Services
  • Google Cloud
  • Google Cloud Platform
  • Microsoft Azure
  • Linux
  • Hardening
  • Management
  • Kubernetes
  • Docker
  • Terraform
  • Scripting
  • Python
  • Bash
  • Git
  • Jenkins
  • DNS
  • Dragon NaturallySpeaking
  • DHCP
  • Virtual Private Network
  • LDAP
  • Grafana
  • Cloud Computing
  • Computer Networking
  • Agile
  • JIRA
  • Confluence

Summary

Senior DevOps Engineers

Role Summary

We are seeking a Senior Cloud DevOps Engineer to assist in the design, implementation, and support of our scalable, secure, and resilient cloud infrastructure. This role will drive our infrastructure automation, cloud services, and CI/CD practices across environments, with a strong emphasis on AWS, Kubernetes, and infrastructure-as-code tooling.

You'll be part of a high-performing team focused on rapid delivery, system reliability, and continuous improvement. Working at Magna means collaborating with engineers and designers who bring decades of experience across multiple disciplines and are passionate about building high-impact systems.

Key Responsibilities
  • Design and manage infrastructure using AWS, Kubernetes, and Terraform, with a focus on Terraform module design, remote state management, and policy-as-code.
  • Implement GitOps practices using tools like Flux or Argo CD for declarative, version-controlled environment management and drift detection.
  • Take ownership of Kubernetes as a Service (KaaS) platforms, including multi-cluster lifecycle management, version upgrades, and advanced autoscaling strategies.
  • Troubleshoot complex traffic flows and optimize cloud networking, including CNI configurations, ingress controllers, and load balancing.
  • Build and support CI/CD pipelines to enable efficient and reliable deployments.
  • Automate infrastructure provisioning and configuration using tools like Ansible, Puppet, or Chef.
  • Write and maintain infrastructure-as-code and configuration-as-code for all environments using Terraform.
  • Monitor, troubleshoot, and optimize infrastructure performance, availability, and cost.
  • Integrate and manage third-party tools, plug-ins, and internal scripts as needed.
  • Create and maintain technical documentation, including runbooks and architecture diagrams.
  • Participate in on-call rotations and contribute to improving incident response processes.
  • Collaborate cross-functionally to ensure infrastructure meets application and business needs.

Experience
  • 7+ years of experience working as DevOps, SRE, PE or infrastructure engineering experience.
  • 5+ years of hands-on experience with cloud platforms, especially AWS (Google Cloud Platform or Azure a plus).
  • Advanced Linux systems expertise, including deep knowledge of systemd, cgroups, namespaces, OS tuning, and production hardening.
  • Deep Kubernetes and cloud networking knowledge beyond fundamentals (e.g., CNI plugins, Service Mesh, and advanced ingress patterns).
  • Experience managing Kubernetes clusters and containerized workloads (EKS / Docker).
  • Expertise in Terraform and infrastructure automation practices.
  • Proficiency in scripting with Python and Bash.
  • Experience with tools like Git, Jenkins, and artifact repositories.
  • Familiarity with networking fundamentals such as DNS, DHCP, VPN, and LDAP.
  • Experience with monitoring and logging systems such as DataDog, Prometheus, Grafana, ELK, or equivalent.
  • Strong understanding of cloud networking, VPCs, security groups, and IAM policies.
  • Comfortable working with Agile teams and tools like JIRA and Confluence
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: 90933573
  • Position Id: 7ea84d9abf2908867bdd77ea01ff44f6
  • Posted 16 hours ago
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