Senior DevOps Engineer — Cloud Automation & AI Enablement

Prisys Infotech

United States

Remote

USD 120,000 - 180,000

Full time

10 days ago

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Job summary

Prisys Infotech is seeking a Senior DevOps Engineer to manage IT infrastructure and automate deployment workflows. The ideal candidate will bring 4+ years of DevOps experience with cloud platforms, and hands-on expertise in Kubernetes, Jenkins, Terraform, GitLab, and related tools.

The role requires strong scripting in Linux, Bash, YAML, and Python, plus experience with GCP/AWS and CI/CD pipelines. Gen-AI experience is a plus and collaboration across teams is essential.

Qualifications

  • 4+ years of DevOps and Cloud Technology experience.
  • Computer Science or related field.
  • End-to-end development and the desire to further his/her technical knowledge.
  • Expertise in: Kubernetes, Jenkins, Terraform, GitLab, Apache Tomcat, SonarQube, Grafana.
  • Expertise in: Google Cloud Platform (GCP), Amazon Web Services (AWS) Cloud Platform.
  • Expertise in Version Control & Automation: GIT, CI/CD Pipeline, Infrastructure Automation, Cloud Computing, Data Migration, Cloud Support.
  • Expertise in different Operating Systems & Scripting like Linux, Bash, Shell Scripting, YAML, Python.
  • Gen-AI (Artificial Intelligence) experience.

Responsibilities

  • Senior DevOps engineer who can take care IT infrastructure, deployment workflow automation etc..

Skills

Kubernetes
Jenkins
Terraform
GitLab
Grafana
SonarQube
GCP
AWS
CI/CD Pipelines
Linux
Bash/Shell scripting
Python
YAML
Data Migration
Cloud Computing
Gen-AI

Education

Computer Science or related field

Job description

Prisys Infotech is seeking a Senior DevOps Engineer to manage IT infrastructure and automate deployment workflows. The ideal candidate will bring 4+ years of DevOps experience with cloud platforms, and hands-on expertise in Kubernetes, Jenkins, Terraform, GitLab, and related tools.

The role requires strong scripting in Linux, Bash, YAML, and Python, plus experience with GCP/AWS and CI/CD pipelines. Gen-AI experience is a plus and collaboration across teams is essential.

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