DevOps Engineer (Must have Kubernetes)

Cornerstone Defense
Chantilly, United States of America
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Chantilly, United States of America

Tech stack

Java
JavaScript
Agile Methodologies
Software Documentation
Computer Programming
Continuous Integration
Linux
DevOps
Elasticsearch
Hadoop
Python
PostgreSQL
Maven
Openshift
Software Tools
Ansible
Prometheus
Shell Script
Software Engineering
Grafana
Spark
Gitlab
GIT
Kubernetes
Rancher
Apache Nifi
Puppet
Terraform
Docker

Job description

  • Administer repeatable cloud and server-based environments across customer and lab settings.
  • Build and maintain robust pipelines using GitLab, Docker, Ansible, Terraform, and Puppet.
  • Design, test, and deploy software tools to extend or replace existing infrastructure capabilities.
  • Collaborate with software engineers and data scientists to troubleshoot complex issues and provide ongoing production maintenance.
  • Author and update system documentation, training materials, and standard operating procedures.

Requirements

The DevOps Engineer manages cloud and on-prem infrastructure to deliver complex software into production. This role focuses on building repeatable CI/CD processes, automation tools, and robust infrastructure-as-code solutions. The ideal candidate is a self-directed innovator capable of keeping pace with high-demand software development in an Agile environment., * Hands-on experience building and deploying infrastructure via Ansible and Terraform.

  • Expert knowledge of Docker and Kubernetes, including onboarding software into Kubernetes environments.
  • Deep proficiency in Linux-based systems and Shell scripting.
  • Experience with Git, Maven, Elasticsearch, Opensearch, Prometheus, and Grafana., * Experience with Rancher or cloud-native distributions (EKS, AKS, GKE, OpenShift).
  • Programming proficiency in Java, JavaScript, or Python.
  • Hands-on experience with PostgreSQL and Apache NiFi.
  • Working knowledge of Hadoop, Apache Spark, and related technologies.

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