Staff Cloud DevOps/Site Reliability Engineer (SRE) - USA

About the position

Inworld is the leading provider of AI technology for real-time interactive experiences, with a $500 million valuation and backing from top tier investors including Intel Capital, Microsoft’s M12 fund, Lightspeed Venture Partners, Section 32, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, and First Spark Ventures. Inworld provides the market’s best framework for building production ready interactive experiences, coupled with dedicated services to optimize specific stages of development – from design and development, to ML pipeline optimization and custom compute infrastructure. We help developers bring their AI engines in-house with a framework optimized for real-time data ingestion, low latency, and massive scale. Inworld powers experiences built by Ubisoft, NVIDIA, Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft Xbox, Epic Games, and Unity. Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world in 2024 and was named among LinkedIn's Top Startups of 2024 in the USA. 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.

Responsibilities

• Maintain and contribute to Infrastructure-as-Code (Terraform)
• Orchestrate pipelines using Github Actions, Helm, ArgoCD
• Kubernetes Administration for microservices scalability
• Cloud Administration
• Measure and monitor availability, latency, and overall service health, drive incident management and post-mortem analysis

Requirements

• 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 with Terraform
• At least 2 years experience with Helm
• At least 2 years experience with Kubernetes
• At least 2 years experience with AWS, Azure, or GCP
• At least 2 years experience with CI/CD using modern tools (GitOps)

Nice-to-haves

• MLOps (building, orchestrating, and maintaining Machine Learning Pipelines)
• Prometheus / Grafana
• Multi-cloud deployments (2 or more)
• ArgoCD
• Network management and VPNs

Benefits

• Equity
• Comprehensive benefits package