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Dunwoody, Georgia, United States
Onsite
We’re looking for an experienced Site Reliability Engineer (SRE) to help us scale our platform with reliability, observability, and operational excellence at the core. You’ll partner with engineers and data scientists to build, automate, and maintain the infrastructure that powers our core platform—including data pipelines, ML workloads, and real-time analytics systems.
This is a (very) hands-on, high-impact role with visibility across the stack and the opportunity to shape the future of our infrastructure and operations. We're hiring onsite at our Supercomputing Research Facility in Dunwoody, GA.
Design, build, and maintain scalable infrastructure to support real-time analytics and machine learning workloads
Improve system reliability and performance through automation, observability, and proactive capacity planning
Respond to customer support issues as well as site operations issues in a timely manner. This position requires participation in a call-in rotation
Own and evolve CI/CD pipelines, deployment automation, rollback mechanisms, and config management
Own processes around Supercomputing facility physical support, including device management, inventory, basic network and system administration, NVidia DGX cluster administration and advanced datacenter systems
Implement and maintain monitoring, alerting, and incident response processes (SLOs, runbooks, on-call rotations)
Collaborate across engineering teams to drive a culture of performance and reliability
Ensure security, compliance, and operational readiness across our infrastructure
Drive post-incident analysis and continuous improvement initiatives
8+ years of experience in SRE, DevOps, or infrastructure engineering roles
5+ years of experience with datacenter operations and/or system and network administration
Experience with containerization (Docker), and orchestration (Kubernetes)
Strong knowledge of Linux systems, networking, and systems performance tuning, including strong-to-expert facility with SSH, terminal, shell and the Linux command line.
Solid understanding of infrastructure-as-code (e.g., Terraform, Ansible)
Good programming skills and ability to apply sound coding principles to IaC and scripting code with languages such as Terraform, Ansible, Bash (shell scripting), and/or Python.
Experience with monitoring and observability stacks (e.g., Prometheus, Grafana, Datadog, ELK, OpenTelemetry)
Proficiency with CI/CD tools and pipelines (e.g., GitHub Actions, ArgoCD, etc.)
Ability to debug complex systems and automate solutions in scripting languages
Excellent communication skills and the ability to work cross-functionally
Experience with cloud and managed services (e.g. AWS)
Experience supporting data-intensive platforms (Spark, Airflow, Kafka, etc.)
Familiarity with security practices for cloud-native applications and infrastructure
Experience in high-compliance or SOC-2 environments
Ownership of mission-critical infrastructure in a company solving real-world enterprise problems
A front-row seat to a high-performance engineering culture
The ability to influence how our platform scales—from deployment to incident management
An environment that values curiosity, accountability, and impact
