DevOps Engineer

NexivaWilmington, NC
Hybrid

About The Position

We are seeking an experienced Azure DevOps Engineer with strong expertise in Infrastructure as Code (IaC) to help build and scale a secure, reliable DevOps platform. This role is focused on enabling efficient software delivery while ensuring high system performance, scalability, and resilience across the organization.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
  • 10+ years of experience in DevOps, Site Reliability Engineering (SRE), or related roles
  • Strong experience with Microsoft Azure, including services such as Azure DevOps, Azure Kubernetes Service (AKS), and Azure Monitor
  • Hands-on experience with Infrastructure as Code (IaC) tools (e.g., Terraform, Bicep, ARM templates)
  • Experience building and maintaining CI/CD pipelines in Azure DevOps or similar platforms
  • Proficiency in scripting languages such as PowerShell, Bash, or Python
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
  • Solid understanding of monitoring, logging, and observability practices
  • Familiarity with security best practices in cloud and DevOps environments
  • Experience implementing SLI/SLO frameworks and reliability engineering practices
  • Knowledge of GitOps workflows and modern deployment strategies
  • Familiarity with hybrid cloud and on-premises infrastructure
  • Experience with performance tuning and cost optimization in Azure

Nice To Haves

  • Relevant certifications such as Microsoft Certified: DevOps Engineer Expert

Responsibilities

  • Design, implement, and continuously improve CI/CD pipelines and shared platform services to support consistent and scalable software delivery
  • Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, Bicep, or ARM templates
  • Define, measure, and track reliability metrics (SLIs/SLOs) to drive performance and operational improvements
  • Implement monitoring, logging, and observability solutions to proactively detect issues and reduce response times
  • Automate infrastructure provisioning, deployment processes, and operational workflows to increase efficiency and reduce manual effort
  • Identify and remediate performance, scalability, and reliability bottlenecks across systems and pipelines
  • Collaborate with engineering and operations teams to embed reliability, security, and resiliency into system architecture and design
  • Participate in incident response, root cause analysis, and implement preventative measures to minimize downtime
  • Contribute to capacity planning and ensure systems scale in line with business demand
  • Enhance and maintain disaster recovery and business continuity capabilities across cloud and on-premises environments
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