Hybrid Senior DevOps Engineer — Cloud, Kubernetes & CI/CD

Early Warning

Scottsdale (AZ)

Hybrid

USD 106,000 - 156,000

Full time

8 days ago

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Benefits offered by this job

Healthcare Coverage
401(k) Match
Paid Time Off
Parental Leave
Family Planning Support

Job summary

Early Warning is seeking an experienced DevOps/Infrastructure Engineer to design, develop, test, and maintain infrastructure as code and CI/CD pipelines. You’ll lead cloud deployments and collaborate with multiple engineering teams to build reliable, scalable systems.

The role requires deep AWS and Kubernetes expertise, strong automation skills, and a focus on security and observability in a fast-paced environment. Hybrid work options apply across major cities.

Qualifications

  • Bachelor’s degree in Computer Science or equivalent certifications.
  • Typically 5+ years of related experience.
  • DevOps or software engineering background.
  • Ability to manage multiple projects and understand software environments.

Responsibilities

  • Lead infrastructure-as-code projects and design APIs for cloud deployments.
  • Abstract cloud provider complexities (AWS) and Kubernetes for internal infra.
  • Ensure usability and predictable experiences for engineers at scale.
  • Troubleshoot complex infra problems across stack layers with multiple teams.
  • Design cloud infrastructure focusing on security, performance, and observability.
  • Build CI/CD pipelines and scalable workflows for datacenter or cloud deployments.

Skills

DevOps
Cloud AWS
Kubernetes
Linux

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Terraform
Ansible
Docker
Puppet

Job description

Early Warning is seeking an experienced DevOps/Infrastructure Engineer to design, develop, test, and maintain infrastructure as code and CI/CD pipelines. You’ll lead cloud deployments and collaborate with multiple engineering teams to build reliable, scalable systems.

The role requires deep AWS and Kubernetes expertise, strong automation skills, and a focus on security and observability in a fast-paced environment. Hybrid work options apply across major cities.

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