Site reliability engineer @North Carolina (Onsite)

Overview

On Site
Depends on Experience
Contract - W2

Skills

Authentication
Ansible
DNS
DevOps
Communication
Linux
Microsoft Azure
Microsoft Windows Server
LDAP
Kerberos
Microsoft Operating Systems
NFS
Python
Scripting
Software Engineering
Terraform
Red Hat Enterprise Linux
Configuration Management
Dragon NaturallySpeaking
Cloud Computing
Centrify
Bash
Directory Services
Storage
Incident Management

Job Details

  • Develop and automate solutions using scripting languages such as Python, Go, or Bash.

  • Implement and maintain Infrastructure-as-Code solutions using Terraform, Ansible, or similar tools.

  • Define, measure, and improve SLIs, SLOs, and SLAs to ensure service reliability.

  • Reduce operational TOIL through automation and long-term engineering improvements.

  • Integrate and enhance observability platforms for system insight and proactive monitoring.

  • Participate in incident response, root-cause analysis, and post-mortem processes.

  • Collaborate closely with application, engineering, and business teams to deliver reliable solutions.

    • Required Skills & Experience:

    • Strong background in Site Reliability Engineering, DevOps, infrastructure, or software engineering.

    • Hands-on experience with cloud platforms, especially Microsoft Azure.

    • Proficiency working with Linux (RHEL 7+) and Windows Server (2019+) environments.

    • Solid understanding of networking fundamentals and storage technologies (NFS, SAN, NAS).

    • Strong working knowledge of authentication and directory services such as DNS, LDAP, Kerberos, Centrify.

    • Practical experience with automation, scripting, and configuration management.

    • Experience integrating and maintaining monitoring/observability tools to support system uptime.

    • Calm, structured approach to managing high-pressure incidents and outages.

    • Excellent communication and collaboration skills.

    • Ownership mindset with a drive to continually improve systems and reduce manual effort.

    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.