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DevOps Engineer 3

Dover Networks LLC

Maryland, United States · 全职

抢先申请

经验
9+ yrs
薪水
USD 211,000 – USD 231,000 / year
职位空缺
1
发布
13 小时前
工作模式
在办公室
学历
学士学位或同等学历
恢复
需要申请

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职位描述

Job Overview

This role demands a Top Secret/SCI clearance with Full Scope Polygraph and offers a competitive annual salary ranging from $211,000 to $231,000, complemented by an immediate company 401(k) contribution of $53,000 to $58,000.

Key Responsibilities

  • Create Infrastructure as Code and automate processes using scripting and tools such as Python, Ansible, and Terraform to streamline task execution and service provisioning.
  • Maintain system security and compliance by patching and hardening Red Hat Enterprise Linux (RHEL) environments.
  • Install, configure, and optimize performance of technologies including Kubernetes, Docker Compose, Apache NiFi, and native cloud monitoring tools for logging and metrics.
  • Manage and automate Continuous Integration/Continuous Deployment (CI/CD) pipelines using GitLab runners and Argo CD to facilitate code build, test, and deployment workflows.
  • Administer commercial cloud platforms with a focus on Amazon Web Services (AWS).
  • Collaborate effectively within teams and communicate clearly with stakeholders to support cohesive DevOps practices.

Qualifications

  • A Bachelor's degree in a relevant field from an accredited institution or equivalent experience combined with education.
  • At least 9 years of professional experience, or 7 years if holding a related Master's degree.

Preferred Skills (Candidates should have at least two)

  • Designing, implementing, and managing AWS infrastructure services such as EC2, Lambda, S3, SNS, SQS, Event Router, Athena, and Step Functions using Terraform and auto-scaling techniques.
  • Understanding AWS network architecture including virtual private clouds (VPCs), network address translation (NAT), and internet gateways.
  • Developing and handling GitLab CI/CD pipelines to automate deployment activities.
  • Working closely with development teams to improve application performance and reliability.
  • Diagnosing and resolving infrastructure issues to maintain uptime.
  • Experience with Kubernetes ecosystems, particularly Amazon EKS, ECS, and/or Fargate.

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