Site Reliability Engineer

Site Reliability Engineer (Client: ???) [Location: Atlanta, GA (Onsite)]  Job Description: The Site Reliability Engineer (SRE) will manage, maintain, and optimize multiple test instances of the client’s hybrid billing systems. This individual combines system administration, network engineering, and reliability engineering expertise to ensure integration and testing environments operate with maximum stability, observability, and resilience. The SRE will design, document, and oversee installation, configuration, monitoring, and continuous improvement of the infrastructure supporting billing and customer systems. Key Responsibilities: ·        Manage and maintain multiple non-production test environments supporting hybrid billing systems (Samson and associated platforms). ·        Design and document environment topologies, dependencies, and infrastructure provisioning specifications. ·        Perform installation, configuration, patching, and upgrades for OS, middleware, and applications in hybrid environments. ·        Manage IP routing, firewalls, DNS, load balancers, VPNs, and secure network connectivity. ·        Implement and maintain observability using Prometheus, Grafana, ELK, Splunk, or Datadog. ·        Develop scripts and tools (Python, Bash, Ansible, Terraform) for automation, monitoring, and deployment. ·        Design automated alerting, escalation, and remediation processes for critical systems. ·        Ensure adherence to data protection, access control, and compliance standards. ·        Collaborate with QA, Dev, and Ops teams to ensure test environment readiness and uptime. Required Qualifications: ·        Bachelor’s degree in Computer Science, Information Systems, or equivalent experience. ·        5+ years in system administration or site reliability engineering within enterprise systems. ·        Strong Linux/Unix administration, scripting, and service management skills. ·        Proficiency in IP network engineering: routing, VLANs, load balancing, VPNs, SSL, DNS. ·        Experience with cloud infrastructure (AWS, Azure, Oracle Cloud) and containerization (Docker, Kubernetes). ·        Expertise in observability tools (Prometheus, Grafana, Datadog, ELK, or Splunk). ·        Automation and configuration experience using Python, Bash, Ansible, or Terraform. ·        CI/CD and infrastructure-as-code (IaC) pipeline familiarity.