Staff Platform Engineer - Canada

11 Months ago • 7-7 Years • $128,000 PA - $165,000 PA

Job Description

Inworld seeks a Staff Platform Engineer to design, deploy, and maintain reliable cloud infrastructure for its AI engine. You'll have 7+ years of software engineering experience, expertise in managing Kubernetes clusters, and proficiency in infrastructure-as-code using tools like Terraform, ArgoCD, and GitHub Actions.
Good To Have:
  • GPU Experience
  • Cloud Provider
  • Backend Languages
  • Automation Efficiency
Must Have:
  • Software Engineering
  • Infrastructure-as-code
  • Kubernetes Clusters
  • CI/CD Pipelines
Perks:
  • Equity
  • Benefits

Add these skills to join the top 1% applicants for this job

bash
unity
github-actions
ci-cd
microsoft-azure
github
helm
kubernetes
azure
python
terraform
google-cloud-platform
ansible
innovation
oracle

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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. 

Join our dynamic team as a Compute Platform Engineer and play a pivotal role in building, securing, and scaling our cutting-edge AI engine for games. Collaborate with backend and ML engineers to plan, deploy, and maintain services across major cloud providers using Terraform, ArgoCD and other tooling. As part of our small, collaborative team, your contributions will significantly shape our operations and innovation.


What you’ll do

  • Work closely with backend and ML engineering teams to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for our AI engine and Studio.
  • Facilitate a "you build it, you run it" culture by providing the necessary tools and processes for monitoring the reliability, availability, and performance of services.
  • Manage CI/CD pipelines to ensure smooth and efficient code integration and deployment.
  • Identify and implement opportunities to enhance engineering speed and efficiency.
  • Conduct root cause analysis to identify critical issues and develop automated solutions to prevent recurrence.
  • Develop and share best practices to improve automation and efficiency across our engineering teams.


Expected experience

  • 7 years of experience in software engineering.
  • 5 years of experience with infrastructure-as-code.
  • Proficiency in managing Kubernetes clusters and applications, including creating Kustomize manifests/Helm charts for new applications.
  • Experience in creating and maintaining CI/CD pipelines for both applications and infrastructure deployments (using tools like Terraform/Terragrunt, ArgoCD, GitHub Actions, Ansible, etc.).
  • Deep knowledge of at least one major cloud provider (Google Cloud Platform, Microsoft Azure, Oracle Cloud).
  • Proficient in at least one backend programming/scripting languages such as Golang, Python, and Bash.
  • Experience with GPUs (optional).

Work location: British Columbia, Canada.

The base salary range for this full-time position is CAD $170,000 - $220,000. In addition to base pay, total compensation includes bonus, equity and benefits. Within the range, individual pay is determined by work location and additional factors, including competencies and experience.

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