CARET, a technology firm empowering legal and accounting professionals with practice management and automation solutions, is hiring an Intermediate DevOps Engineer. This role is crucial for designing and implementing DevOps processes, automating infrastructure, and troubleshooting complex systems that deliver their services.

This is a Full-time, Fully Remote position in the U.S. (Nationwide Remote). The salary range is $90,000 – $110,000 annually.

Role Summary and Automation Mandate

The Intermediate DevOps Engineer will work closely with various teams to ensure the reliable delivery of services. The ideal candidate will have a strong grasp of system architecture and the complex interplay between servers, databases, APIs, and networking components, with hands-on experience across the entire modern DevOps toolchain.

Key Responsibilities:

• Infrastructure Automation (IaC): Automate the deployment of infrastructure and maintenance via Terraform and Ansible.
• CI/CD & Delivery: Develop and deploy pipelines via Azure DevOps.
• Container Management: Configure and administer Kubernetes, Helmchart, and Docker images.
• Cloud Infrastructure: Design, build, and maintain multi-cloud infrastructure on AWS and Azure.
• Monitoring: Implement and configure Datadog monitoring for visibility into system health and performance.
• Troubleshooting: Troubleshoot and resolve complex issues across a wide variety of service components, including Windows, IIS, NGNIX, DNS, Kubernetes, SQL, MongoDB, Postgres, and Redis.
• Operations: Deliver projects through planning, design, execution, and completion, and support on-call responsibilities.

Required Experience and Technical Qualifications

The candidate must have over three years of DevOps experience, strong knowledge of multi-cloud environments, and proficiency in IaC tools, scripting, and CI/CD pipelines.

• Experience (Mandatory):
  • 3+ years of experience as a DevOps Engineer or in a related field.
  • Experience with building and maintaining Azure DevOps pipelines.
  • Support on-call responsibilities.
• Technical Proficiency:
  • Strong working knowledge of cloud computing platforms such as AWS and Azure.
  • Proficient in writing scripts in languages such as Python, Bash, or PowerShell.
  • Strong understanding of logging and monitoring (e.g., Datadog) and the relationship to environmental health and performance.
• Education: Bachelor’s degree in Computer Science, a related field, or equivalent experience.