What are the responsibilities and job description for the Site Reliability Engineer (SRE) Alpharetta - GA - Georgia position at Jobs via Dice?
ROLE_DESCRIPTION -
Skill Set - Expertise in UNIX LINUX Administration AWS AZURE Cloud monitoring Terraform Ansible Prometheus Grafana observability experience).
Work Location - Alpharetta
Experience required for role - 6 years
Production experience in SRE Infrastructure ops for large-scale systems
Strong programmingscripting skills (Python, Go, Java, or equivalent)
Deep experience with containerization (Docker), orchestration (Kubernetes, etc.)
Infrastructure-as-code (Terraform, Helm, CloudFormation, Ansible, etc.)
Familiarity with GPU AI compute clusters, high-performance data storage, and distributed architectures
Experience with monitoring observability logging alerting tools (Prometheus, Grafana, ELK EFK, Datadog, etc.)
Networking & systems engineering knowledge (TCPIP, DNS, routing, load balancing, distributed storage)
Solid experience in capacity planning, performance tuning, scaling, and incident response
Demonstrated ability to lead RCAs, deploy fixes, and drive reliability improvements
Experience in regulated environments (financial services, compliance, audit, security) is a strong plus
Excellent communication, documentation, and cross-team collaboration skills
Proven track record of reducing operational toil via automation
Experience: 6 years of experience as a Site Reliability Engineer or in a similar role, with hands-on experience in supporting IaaS platforms with networking and system engineering knowledge.
Operate, monitor, and maintain the infrastructure supporting GenAI applications (training, inference, feature store, data ingestion, model serving)
Design and build automation for core platform capabilities, reducing manual toil
Develop and maintain infrastructure-as-code (IaC) for provisioning and managing compute, storage, network, GPU clusters, Kubernetes container orchestration, etc.
Establish, monitor, and enforce SLOsSLIsSLAs, error budgets, alerting, and dashboards
Lead incident response, root cause analysis (RCA), postmortems, and systemic remediation
Perform capacity planning, scaling strategies, workload scheduling, and resource forecasting
Optimize cost vs. performance tradeoffs in large-scale compute environments
Harden systems for security, compliance, auditability, and data governance
Collaborate across teams (cloud engineers, data engineers, infrastructure, security) to ensure safe deployment, rollout, rollback, and integration of new systems
Define disaster recovery (DR) strategies, backuprestore practices, fault tolerance mechanisms
Maintain runbooks, operational playbooks, documentation, and training materials
Participate in on-call rotations and respond to production incidents 247 as needed
Continuously evaluate and integrate new tools, frameworks, or technologies to enhance platform reliability
Skills: Digital : PythonDigital : DockerDigital : KubernetesDigital : Site Reliability Engineering (SRE)
Experience Required: 6-8
Skill Set - Expertise in UNIX LINUX Administration AWS AZURE Cloud monitoring Terraform Ansible Prometheus Grafana observability experience).
Work Location - Alpharetta
Experience required for role - 6 years
Production experience in SRE Infrastructure ops for large-scale systems
Strong programmingscripting skills (Python, Go, Java, or equivalent)
Deep experience with containerization (Docker), orchestration (Kubernetes, etc.)
Infrastructure-as-code (Terraform, Helm, CloudFormation, Ansible, etc.)
Familiarity with GPU AI compute clusters, high-performance data storage, and distributed architectures
Experience with monitoring observability logging alerting tools (Prometheus, Grafana, ELK EFK, Datadog, etc.)
Networking & systems engineering knowledge (TCPIP, DNS, routing, load balancing, distributed storage)
Solid experience in capacity planning, performance tuning, scaling, and incident response
Demonstrated ability to lead RCAs, deploy fixes, and drive reliability improvements
Experience in regulated environments (financial services, compliance, audit, security) is a strong plus
Excellent communication, documentation, and cross-team collaboration skills
Proven track record of reducing operational toil via automation
Experience: 6 years of experience as a Site Reliability Engineer or in a similar role, with hands-on experience in supporting IaaS platforms with networking and system engineering knowledge.
Operate, monitor, and maintain the infrastructure supporting GenAI applications (training, inference, feature store, data ingestion, model serving)
Design and build automation for core platform capabilities, reducing manual toil
Develop and maintain infrastructure-as-code (IaC) for provisioning and managing compute, storage, network, GPU clusters, Kubernetes container orchestration, etc.
Establish, monitor, and enforce SLOsSLIsSLAs, error budgets, alerting, and dashboards
Lead incident response, root cause analysis (RCA), postmortems, and systemic remediation
Perform capacity planning, scaling strategies, workload scheduling, and resource forecasting
Optimize cost vs. performance tradeoffs in large-scale compute environments
Harden systems for security, compliance, auditability, and data governance
Collaborate across teams (cloud engineers, data engineers, infrastructure, security) to ensure safe deployment, rollout, rollback, and integration of new systems
Define disaster recovery (DR) strategies, backuprestore practices, fault tolerance mechanisms
Maintain runbooks, operational playbooks, documentation, and training materials
Participate in on-call rotations and respond to production incidents 247 as needed
Continuously evaluate and integrate new tools, frameworks, or technologies to enhance platform reliability
Skills: Digital : PythonDigital : DockerDigital : KubernetesDigital : Site Reliability Engineering (SRE)
Experience Required: 6-8