DevOps Engineer

Overview

Remote
$65 - $75
Contract - W2

Skills

Bash
DevOps
Docker
Generative Artificial Intelligence (AI)
Microsoft Azure
Microservices
Kubernetes
System Integration
Jenkins
Computer Networking

Job Details

Required Skills & Experience:

  • 6+ years in DevOps, Site Reliability, or Cloud Infrastructure Engineering roles.
  • Expertise in software development design patterns.
  • Familiarity with Generative AI and common application integration pattern (RAG, tool calling, agentic workflows)
  • Strong experience leading developers across multiple application workstreams in the application delivery lifecycle.
  • Expertise in Kubernetes administration (CKA, CKAD, or CKS certifications preferred).
  • Deep understanding of Linux system administration, troubleshooting, and hardening.
  • Solid knowledge of Docker and container orchestration.
  • Experience with Azure Cloud Services (AKS, Networking, Identity, Monitoring).
  • Strong understanding of networking fundamentals (TCP/IP, DNS, load balancing, firewalls, VPNs).
  • Proficiency in Bash scripting, Python, and JavaScript (React, Node.js).
  • Hands-on experience building and maintaining CI/CD pipelines (GitHub Actions preferred, Azure DevOps or Jenkins acceptable).
  • Strong troubleshooting skills across infrastructure, networking, and application layers.
  • Deep understanding of source code management with Git.
  • Familiarity with observability tools (Datadog, Prometheus, Grafana).

Preferred Qualifications

  • Kubernetes certifications (CKA, CKAD).
  • Familiarity with Infrastructure as Code (IaC) tools (Terraform, Bicep, Pulumi).
  • Experience supporting microservices architectures and service meshes (Istio, Linkerd).
  • Security knowledge (secrets management, network policies, RBAC, least privilege principles).
  • Experience in cloud-native SaaS environments.
  • Strong collaboration and mentoring skills within DevOps and development teams.
  • Experience collaborating on performance and load testing to identify application bottlenecks.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.