Job Description

About Groundlight AI: Groundlight AI is a well-funded, innovative start-up based in Seattle, transforming the future of artificial intelligence by using natural language to make computer vision accessible for everyone. As part of our team, you’ll work in an intellectually stimulating environment alongside some of the brightest engineers and data scientists, driving real-world machine learning applications. We offer competitive pay, benefits, and an exciting opportunity to work at the cutting edge of AI technology.

What You’ll Do:

• Lead the improvement, maintenance, and expansion of cloud infrastructure as Groundlight grows.
• Build and maintain CI/CD pipelines, automating the deployment process to improve efficiency and system reliability.
• Manage cloud-based infrastructure using AWS and Azure, ensuring that resources are optimized for both performance and cost-effectiveness.
• Leverage Kubernetes for container orchestration, managing clusters and deployments across both production and development environments.
• Implement Infrastructure as Code (IaC) practices using Pulumi to automate infrastructure provisioning.
• Participate in on-call rotation with other engineers for ensuring the reliability of the cloud service.
• Work closely with development teams to integrate best DevOps practices and enhance product delivery, collaborating on key operational and technical decisions.
• Monitor and maintain system performance, ensuring high availability and troubleshooting issues to mitigate downtime.
• Enforce security best practices and compliance across all systems and infrastructure.
• Contribute to the improvement of internal systems, automating operational processes and driving continuous improvement.

Requirements:

Must-Haves:

• 3+ years of experience in an engineering role with production responsibility.
• Strong experience with Kubernetes, including cluster management and orchestration of containerized applications.
• Proficiency in Python, and bash for scripting and automation.
• Experience with Infrastructure as Code tools, such as Pulumi or Terraform.
• Expertise in managing cloud infrastructure using AWS and Azure.
• U.S. Citizen, open to obtaining security clearance.
• This is an In-Office role. Must live in Seattle 

Nice-to-Haves:

• Experience with CUDA workloads and NVIDIA-container-runtime for GPU-accelerated applications.
• Familiarity with OpenSearch for search and analytics use cases.
• Experience managing embedded or single-node k3s clusters for lightweight Kubernetes environments.

At Groundlight, we believe in treating all candidates fairly and without discrimination. We seek out exceptional people who come from a variety of backgrounds, possess unique experiences and abilities, and offer differing viewpoints. We value inclusivity and strive to foster a work environment that is welcoming and supportive for everyone, so we can all enjoy coming to work each day. If you need any reasonable accommodation to help you apply for a position here, we’d be happy to help, please email us at work@groundlight.ai

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