Sr. DevOps Engineer

Paird
Dallas, TX, US
Full-time

Job Description

Job Description

Overview : Lead and manage DevOps practices, focusing on Azure and Google Cloud Platform. Utilize Kubernetes and Terraform to ensure efficient development and operations integration.

Drive innovation, efficiency, and reliability in technology.

Key Responsibilities :

DevOps Management :

  • Deploy and manage DevOps practices on Azure and GCP using Kubernetes.
  • Implement and maintain Infrastructure as Code (IaC) with Terraform for secure cloud infrastructure automation.
  • Collaborate with teams to develop technical specifications and solutions that enhance security and streamline workflows.

Project Leadership :

  • Oversee technology and software projects aligned with DevOps and infrastructure engineering principles.
  • Mentor teams and promote technical excellence in Azure, GCP, and Kubernetes.

Process Optimization :

  • Automate tasks and develop CI / CD pipelines to improve delivery speed and reduce manual work.
  • Implement continuous improvement initiatives to boost system resilience and productivity.

Continuous Delivery :

  • Ensure advanced CI / CD practices for software deployment using Azure and GCP.
  • Optimize the release process with automated pipelines, ensuring fast, error-free deployments.
  • Stay updated on emerging technologies, especially in cloud platforms and Kubernetes.

Monitoring and Performance :

Advocate for and implement advanced monitoring solutions like Dynatrace for high availability and performance.

Qualifications :

  • Bachelor’s degree in a relevant field or 7+ years of related experience; advanced degree with 3 years of relevant experience also acceptable.
  • Proven experience in project management and technical guidance.
  • Proficiency in automation and scripting, with hands-on experience in Kubernetes and cloud platforms.
  • Experience with cloud monitoring tools, particularly Dynatrace, is preferred.

Additional Skills :

  • Extensive experience with Azure and / or Google Cloud Platform.
  • Advanced skills in Kubernetes management and Terraform automation.
  • Strong scripting skills (Python, Bash, PowerShell).
  • Demonstrated troubleshooting abilities and excellent communication skills.
  • Proven leadership and ability to foster a collaborative environment.
  • 2 days ago
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