Inworld AI
Staff Cloud DevOps/Site Reliability Engineer (SRE) - USA
Inworld AI, Mountain View, California, us, 94039
Our Technical Operations team manages the infrastructure, DevOps, and Site Reliability of our platform. We are looking for a Staff Cloud DevOps/Site Reliability Engineer to join our team.
Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field 7+ years of experience as a DevOps, Infrastructure, Operations, or Site Reliability Engineer (or as a software engineer with relevant experience). At least 2 years experience each with: Terraform Helm Kubernetes AWS, Azure, or GCP CI/CD using modern tools (GitOps) Optional (not required but considered a plus): MLOps (building, orchestrating, and maintaining Machine Learning Pipelines) Prometheus / Grafana Multi-cloud deployments (2 or more) ArgoCD Network management and VPNs Responsibilities
Infrastructure: Maintain and contribute to Infrastructure-as-Code (Terraform) DevOps and CI/CD Pipelines: Orchestrate pipelines using Github Actions, Helm, ArgoCD Microservices scalability: Kubernetes Administration Cloud Administration Site Reliability: Measure and monitor availability, latency, and overall service health, drive incident management and post-mortem analysis Location
In-office location: Mountain View, CA, United States. Remote location: United States. Compensation
The US base salary range for this full-time position is $180,000 - $280,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.
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Bachelor's degree in Computer Science, Engineering, or a related field 7+ years of experience as a DevOps, Infrastructure, Operations, or Site Reliability Engineer (or as a software engineer with relevant experience). At least 2 years experience each with: Terraform Helm Kubernetes AWS, Azure, or GCP CI/CD using modern tools (GitOps) Optional (not required but considered a plus): MLOps (building, orchestrating, and maintaining Machine Learning Pipelines) Prometheus / Grafana Multi-cloud deployments (2 or more) ArgoCD Network management and VPNs Responsibilities
Infrastructure: Maintain and contribute to Infrastructure-as-Code (Terraform) DevOps and CI/CD Pipelines: Orchestrate pipelines using Github Actions, Helm, ArgoCD Microservices scalability: Kubernetes Administration Cloud Administration Site Reliability: Measure and monitor availability, latency, and overall service health, drive incident management and post-mortem analysis Location
In-office location: Mountain View, CA, United States. Remote location: United States. Compensation
The US base salary range for this full-time position is $180,000 - $280,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.
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