Overview
On Site
$140,000 - $200,000
Full Time
No Travel Required
Skills
CI/CD
Datacenter
Site Reliability
SRE
Python
Kubernetes
Infrastructure
Job Details
Title: Data Center Site Reliability Engineer (SRE)
Location: Memphis, TN (Onsite)
Duration: FTE
About the Role
We are seeking a Data Center Site Reliability Engineer (SRE) to ensure the reliability, scalability, and performance of large-scale data center infrastructure supporting advanced AI workloads. In this role, you will collaborate with cross-functional teams to automate operations, enhance observability, and maintain high availability for distributed systems. This is a hands-on technical position in a dynamic environment, offering the opportunity to tackle complex challenges at the intersection of AI, data center operations, and software reliability.
Key Responsibilities
- Maintain and improve the reliability and uptime of on-premises and cloud-based data center environments.
- Design, implement, and manage monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, PagerDuty).
- Develop and maintain infrastructure-as-code (Pulumi, Terraform) and continuous deployment pipelines (Buildkite, ArgoCD).
- Participate in on-call rotations, respond to incidents, perform root cause analysis, and drive post-mortem processes.
- Analyze system performance, forecast capacity needs, and optimize resource utilization.
- Collaborate with hardware, networking, and software engineering teams to design and implement resilient, scalable solutions.
- Create and maintain documentation and standard operating procedures.
Required Qualifications
- Bachelor s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
- 5+ years in site reliability engineering, data center operations, or large-scale infrastructure management.
- Expert-level knowledge of Kubernetes (on-prem and cloud), infrastructure-as-code tools (Pulumi, Terraform), and CI/CD systems.
- Proficiency in at least one systems programming language (Rust, C++, Go) and strong scripting/automation skills.
- Deep understanding of monitoring and observability technologies.
- Strong troubleshooting skills across hardware, networking, and distributed software systems.
- Experience with incident management and root cause analysis.
- Excellent communication and documentation skills.
Preferred Qualifications
- Experience supporting AI/ML workloads or high-density compute environments.
- Familiarity with data center electrical, cooling, and network systems.
- Certifications in SRE, Kubernetes, or data center operations.
- Experience with both on-premises and cloud infrastructure at scale.
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.