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

2 Months ago • 7 Years +
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About the job

SummaryBy Outscal

Staff Cloud DevOps/SRE with 7+ years experience in DevOps, Infrastructure, and CI/CD. Must have Terraform, Helm, Kubernetes, and AWS expertise.

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Why Join Inworld

Inworld is the best-funded startup in AI and games with a $500 million valuation and backing from top tier investors like Intel, Microsoft, Lightspeed, Bitkraft, Founders Fund, Kleiner Perkins, and more. Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world and was nominated alongside Anthropic, DeepMind, OpenAI and Nvidia for Generative AI Innovator of the Year at the VentureBeat Awards 2023.

Inworld is the leading AI engine for games, enabling developers to build groundbreaking game mechanics, dynamic NPCs and worlds that evolve with each action. 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. 

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

In-office location: Mountain View, CA, United States.

Remote location: United States.

The US base salary range for this full-time position is $180,000 - $260,000. 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.

Inworld Jobs Privacy

$180.0K - $260.0K/yr (Outscal est.)
$220.0K/yr avg.
Mountain View, California, United States

About The Company

Inworld powers AI-driven gameplay for video games and immersive experiences. 


Whether you’re looking to unlock novel gameplay, create content at scale, improve player immersion, or future proof your AI infrastructure, Inworld helps uplevel your game development with AI.


Inworld has worked with Xbox, Ubisoft, NVIDIA, NetEase Games, Niantic, LG UPlus, Alpine Electronics, and indie game developers to create AI-driven experiences. We’re backed by top-tier investors including Section 32, Intel Capital, Microsoft’s M12 fund, BITKRAFT Ventures, Kleiner Perkins, Founders Fund,and First Spark Ventures. 


The Inworld product suite includes: 


Inworld Engine powers real-time experiences with groundbreaking game mechanics, dynamic NPCs, and worlds that evolve with each action. AI NPCs can learn and adapt, deliver nuanced performances, perceive the world around them, and autonomously initiate actions based on players' decisions. 


Inworld Studio consists of a suite of tools that enhance game design. Using AI to streamline workflows, the Studio enables developers to workshop, draft, and outline storylines, narratives, dialogue, quests, and more.  


Inworld Core is our custom solution for future-proof AI infrastructure, including custom models, training, serving and security.

California, United States (On-Site)

British Columbia, Canada (Remote)

California, United States (On-Site)

California, United States (On-Site)

California, United States (Remote)

California, United States (Remote)

California, United States (On-Site)

California, United States (On-Site)

British Columbia, Canada (On-Site)

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