Company
Technology
SiteReliabilityEngineer-AIAgents
Neural analysis suggests this role is
optimal for Senior candidates.
“Site Reliability Engineer - AI Agents. Skills: Site Reliability Engineering, Cloud-native infrastructure, AI/ML infrastructure, Agentic systems. Design resilient infrastructure systems. Operate resilient infrastructure systems”
Industry & Context.
On-call rotations
What They're Looking For.
Must Have
5+ years SRE experience, 5+ years Platform Engineering, 5+ years Infrastructure Engineering, Hands-on ML systems experience, Hands-on model serving experience, Hands-on MLOps pipelines experience, Experience building developer platforms, Experience building internal tools, Experience building APIs, Experience building SDKs, Proficiency with Terraform, Advanced Kubernetes experience, Solid AWS infrastructure experience, Python programming skills, Bash/shell proficiency, Experience designing observability systems, Experience designing logging systems, Experience designing monitoring systems, Experience designing alerting systems, Proven incident response experience, Proven on-call rotation experience, Proven production reliability ownership, Cross-functional collaboration skills
Nice to Have
AI/ML infrastructure exposure, Agent-based systems exposure, Familiarity with AI/agent systems, Familiarity with orchestration frameworks, Familiarity with LLM-based applications
What You'll Do.
Design resilient infrastructure systems
Operate resilient infrastructure systems
Scale resilient infrastructure systems
Design cloud-native infrastructure
Build cloud-native infrastructure
Operate cloud-native infrastructure
Ensure reliability of systems
Ensure observability of systems
Ensure performance of systems
Develop platform services
Develop self-service tooling
Manage compute layers
Optimize compute layers
Manage orchestration layers
Optimize orchestration layers
Manage serving layers
Optimize serving layers
Build CI/CD pipelines
Maintain CI/CD pipelines
Implement Infrastructure as Code
Provision AWS infrastructure
Manage AWS infrastructure
Design monitoring systems
Design alerting systems
Design observability systems
Define reliability patterns
Enforce reliability patterns
Define failure recovery mechanisms
Enforce failure recovery mechanisms
Transform prototypes into production systems
Manage Kubernetes environments
Ensure scalable workload deployment
Ensure efficient workload deployment
Implement security best practices
Implement access controls
Document system architecture
Document operational procedures
How You'll Work.
Team & Collaboration
AI teams; Data Engineering teams; Product teams; Engineering teams
Full Job Description
## Accountabilities You will be responsible for designing, operating, and scaling resilient infrastructure systems that support AI agent workloads in production, ensuring reliability, scalability, and developer usability across the platform. Design, build, and operate cloud-native infrastructure supporting AI agent execution, orchestration, and model serving at scale Ensure reliability, observability, and performance of distributed agentic systems across internal and external-facing products Develop platform services, APIs, SDKs, and self-service tooling to enable teams to efficiently consume AI infrastructure capabilities Manage and optimize compute, orchestration, and serving layers for AI and ML workloads in production environments Build and maintain CI/CD pipelines to enable safe, fast, and reliable deployment of AI services and agent workflows Implement Infrastructure as Code using tools such as Terraform to provision and manage AWS-based infrastructure Design monitoring, alerting, and observability systems tailored to AI/ML and agent-based workloads Define and enforce reliability patterns, guardrails, and failure recovery mechanisms for LLM and agentic systems Collaborate with AI, Data Engineering, and Product teams to transform experimental prototypes into production-ready systems Manage Kubernetes-based container orchestration environments, ensuring scalable and efficient workload deployment Implement security best practices and access controls across infrastructure and platform services Document system architecture, operational procedures, and runbooks to support team knowledge sharing and reliability Requirements The ideal candidate is a strong platform-minded engineer with deep SRE experience, a solid understanding of cloud-native systems, and exposure to AI/ML infrastructure or agent-based systems. 5+ years of experience in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, or similar production-focused roles Hands-on experie
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