Site Reliability Engineer, AI Platform & Cloud

What you'll do

• Operate, monitor, and maintain infrastructure supporting GenAI applications including training, inference, and data ingestion.
• Design and build automation to reduce manual toil across core platform capabilities.
• Develop and maintain Infrastructure-as-Code (IaC) for managing compute, storage, network, and GPU clusters.
• Establish and enforce SLOs, SLIs, SLAs, error budgets, and automated alerting dashboards.
• Lead incident response, root cause analysis, postmortems, and systemic remediation efforts.
• Perform capacity planning, workload scheduling, and resource forecasting to optimize cost versus performance.
• Harden systems for security, compliance, auditability, and data governance in a regulated environment.
• Define disaster recovery strategies, including backup/restore practices and fault tolerance mechanisms.

What we're looking for

• Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent job experience.
• 5 years of production experience in SRE, infrastructure, or operations for large-scale systems.
• Strong programming and scripting skills in Python, Go, Java, or equivalent languages.
• Deep experience with containerization using Docker and orchestration via Kubernetes.
• Proficiency in Infrastructure-as-Code (IaC) tools such as Terraform, Helm, CloudFormation, or Ansible.
• Experience with monitoring, observability, and logging tools like Prometheus, Grafana, ELK/EFK, or Datadog.
• Knowledge of networking and systems engineering including TCP/IP, DNS, routing, and load balancing.
• Experience in regulated environments such as financial services, compliance, audit, and security.