DevOps Engineer 16 - DEVOP16

Ntrepid Corporation

$110K — $130K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • U.S. Citizenship required.
  • Bachelor's degree in computer science or related field, or equivalent experience with 7+ years in DevOps.
  • 6-8 years of experience in a Linux production environment.
  • Proficient in automation tools like Terraform and Ansible.
  • Experience managing public cloud infrastructures (AWS, GCP, or Azure).
  • Skilled in programming/scripting (Bash or Python).
  • Familiar with enterprise monitoring tools such as Prometheus and Splunk.

Responsibilities

  • Drive automation, continuous deployment, and configuration management efforts.
  • Manage global infrastructure with a focus on test-driven development and security.
  • Architect and build scalable cloud infrastructure solutions.
  • Support the development and deployment of CI/CD automation.
  • Create infrastructure as code and ensure it's testable.
  • Establish metrics to assess performance and efficiency.
  • Collaborate cross-functionally to achieve impactful results.

Benefits

  • Opportunity to work in a small, innovative team environment.
  • Focus on mission-critical systems and secure infrastructure management.
  • Professional growth through diverse project involvement.
  • Hands-on experience with cutting-edge automation tools.
Full Job Description
Overview

Ntrepid Corporation is seeking an experienced DevOps Engineer to join a small innovative team. The ideal candidate is someone who has a background designing, building, and scaling automation tools for managing a dynamic network of secure hybrid infrastructure. The candidate must have great communication skills and a passion for automating everything. A proven track record of maintaining dependable, mission-critical systems and products is a must. Experience securing remote infrastructure is strongly preferred.

Responsibilities

  • Drives efforts in automation, continuous deployment, build, and configuration management.
  • Manage and orchestrate a global network of infrastructure with an emphasis on test driven development, security best practices and monitoring.
  • Architect and build cloud infrastructure solutions.
  • Contribute to developing and deploying automation support for CI/CD.
  • Develop infrastructure as code and testable infrastructure.
  • Develop appropriate metrics to demonstrate performance and operational efficiency.
  • Work cross-functionally with various teams to drive amazing results.
  • Resolve problems at their root with simple and repeatable solutions.
  • Automate systems management solutions with self-repair as the goal.


Qualifications

  • U.S. Citizenship required.
  • Bachelor's or higher in computer science, information technology, or equivalent (can be waived for corresponding experience) with 7+ years of relevant experience.
  • 6-8 years of experience working with Linux in an enterprise production environment.
  • Extensive experience using the platform automation software tools Terraform and Ansible.
  • Experience with supporting production infrastructure systems in public Clouds, including AWS, GCP, or Azure.
  • Experience with programming and scripting languages such as Bash or Python.
  • Experience with enterprise monitoring and logging software such as Prometheus and Splunk.
  • Experience with OpenSearch/Elastic search in a redundant highly available environment.
  • Experience with CI tools such as Jenkins or Github Actions.
  • Experience in network engineering and security principles (e.g. protocols, routing, switching, filtering, firewall rules, etc.).
  • Experience with virtualization technologies such as VMware or Xen.
  • Familiar with containerized solutions using Docker/Kubernetes.
  • Good understanding of build pipeline, molecule testing, packaging, and artifact management.
  • Good understanding of security and systems best practices.
  • Good understanding of TCP/IP, DNS, and VPNs.
  • Basic understanding of Site Reliability methodologies.

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