Overview
Remote
Depends on Experience
Contract - Independent
Contract - W2
Skills
DevOps Engineer
Prometheus
Grafana
ELK
Datadog
CloudWatch
Azure Monitor
Terraform
CloudFormation
or ARM/Bicep
Jenkins
GitHub Actions
GitLab
or Azure DevOps
Job Details
Job Title: DevOps Engineer
Location: Remote / Onsite (Flexible)
Employment Type: Full-Time / C2C / C2H
Key Responsibilities
- Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab, or Azure DevOps.
- Manage containerized applications using Docker and orchestration tools like Kubernetes (EKS/AKS/GKE).
- Implement Infrastructure-as-Code using Terraform, CloudFormation, or ARM/Bicep.
- Automate deployment processes for application and infrastructure workloads.
- Monitor and optimize system performance, availability, and reliability.
- Configure and manage cloud environments on AWS, Azure, or Google Cloud Platform.
- Collaborate closely with development, QA, and security teams to ensure smooth releases.
- Implement logging, monitoring, and alerting using tools such as Prometheus, Grafana, ELK, Datadog, CloudWatch, Azure Monitor.
- Ensure cloud security best practices, IAM configurations, and compliance controls.
- Troubleshoot production issues and support incident management processes.
Required Skills & Experience
- Strong hands-on experience with CI/CD pipeline automation.
- Expertise with Docker and Kubernetes.
- Proficiency in one or more cloud platforms: AWS, Azure, or Google Cloud Platform.
- Experience with Terraform or other IaC frameworks.
- Solid understanding of Linux administration and scripting (Python, Bash, Shell).
- Familiarity with version control using Git and GitOps methodologies.
- Knowledge of networking concepts (VPC, Load Balancing, DNS, Firewalls).
- Experience with monitoring, logging, and alerting tools.
Preferred Qualifications
- Experience with serverless architectures.
- Hands-on knowledge of Ansible, Chef, or Puppet for configuration management.
- Exposure to SRE practices, SLIs/SLOs, and reliability automation.
- Cloud certifications (AWS DevOps Engineer, Azure DevOps, Google Cloud Platform Professional Cloud DevOps Engineer).
- Experience with cost optimization strategies in cloud environments.
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.