Senior Platform Infra Engineer - Kubernetes & Automation

Devopsroles

Dallas (TX)

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Shield AI is hiring a full-time L3 Platform Engineer to build and operate the deployment platform for customer environments. You will write infrastructure as code using Ansible, Terraform, Helm, Zarf, and related tools while enhancing Kubernetes platforms and deployment automation.

You will partner with engineers to design, implement, and test platform capabilities, focusing on reliability, observability, and security.

Qualifications

  • Experience with Kubernetes, Linux, and networking fundamentals.
  • Strong background in Git, GitLab CI, and trunk-based development.
  • Proficiency with Infrastructure as Code tools and secret management.

Responsibilities

  • Build and improve the platform that deploys and operates customer environments.
  • Develop infrastructure as code using Ansible, Terraform, Helm, Zarf, Big Bang, Packer, and related tooling.
  • Improve Kubernetes platforms and the systems around them.
  • Build deployment automation that reduces risk and removes manual work.
  • Pair with other engineers to design, implement, and troubleshoot platform capabilities.
  • Write automated tests for infrastructure and deployment workflows.
  • Improve observability, reliability, security, and recoverability.
  • Write documentation that explains why something exists—not just how to type commands.
  • Leave every part of the system better than you found it.

Skills

Kubernetes
Linux
Networking fundamentals
Git and trunk-based development
GitLab CI
Infrastructure as Code
Ansible
Terraform
Helm
Zarf
Containers
PKI and certificate management
Secrets management
Observability
Infrastructure testing
Troubleshooting distributed systems

Job description

Shield AI is hiring a full-time L3 Platform Engineer to build and operate the deployment platform for customer environments. You will write infrastructure as code using Ansible, Terraform, Helm, Zarf, and related tools while enhancing Kubernetes platforms and deployment automation.

You will partner with engineers to design, implement, and test platform capabilities, focusing on reliability, observability, and security.

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