Lead and mentor a team of DevOps engineers, encouraging collaboration and professional development

Develop and maintain scalable, secure, and reliable cloud-based infrastructure using tools like Azure DevOps, Terraform, and Kubernetes

Optimize DNS and traffic management using technologies such as Azure Traffic Manager

Design and manage fault-tolerant infrastructure leveraging regions and availability zones

Implement and maintain CI/CD pipelines using tools such as Jenkins, Azure DevOps, CircleCI, or AWS CodePipeline

Build automated workflows and processes using scripting languages such as Bash or PowerShell

Ensure real-time monitoring and analytics through platforms like Datadog, New Relic, Splunk, or Google Operations Suite

Collaborate across teams to align DevOps practices with project objectives and timelines

Adhere to DevOps principles by ensuring scalability, security, and reliability in infrastructure and software development

Support Agile practices through participation in sprint planning, code reviews, and continuous improvement initiatives

Bachelor’s degree in Computer Science or a related discipline; Master’s degree is a plus

5+ years of relevant work experience in DevOps roles

At least 1 year of relevant leadership experience

Expertise in cloud-based DevOps tools like Azure DevOps and Terraform

Proficiency in Kubernetes setup, configuration, and deployment for container orchestration

Knowledge of DNS and traffic management technologies like Azure Traffic Manager

Competency in scripting languages like Bash or PowerShell and familiarity with at least one programming language (Python, Ruby, JavaScript, PHP, or C#)

Understanding of database technologies like Microsoft SQL or MySQL

Familiarity with unified monitoring platforms such as Datadog, Splunk, New Relic, or Google StackDriver/Operations Suite

Experience designing scalable and fault-tolerant cloud architectures utilizing availability zones and regions

Strong communication skills with the ability to work collaboratively in an Agile environment

Excellent analytical, decision-making, and problem-solving capabilities

English proficiency at a B2+ level

Familiarity with Active Directory and Azure Kubernetes Service

Advanced scripting experience with Python or Ruby

Proficiency in PowerShell scripting for automation tasks