Software Engineer, Infrastructure (cloud)

About the Role:

As a Software engineer, Cloud Infrastructure at Twelve Labs, you will play a pivotal role in designing, implementing and maintaining our cloud infrastructure platform. As the platform matures, this will be the foundation impacting all engineering team members at Twelve Labs. You will work closely with our cross functional teams to ensure scalability, reliability and security of our cloud based systems. This is an exciting opportunity to be part of a dynamic team and contribute to the growth and success of our AI-driven products. The ideal candidate will have extensive experience with cloud technologies, strong problem solving skills and a curiosity for staying up to date with new and emerging technologies.

You Will:

• Take part in the design, implementation and management of Twelve Labs cloud and on-premise solutions
• Leading the build of single tenant architecture to accommodate enterprise customers on different cloud vendors
• Architect Infrastructure as Code (IaC) using technologies such as Pulumi, Terraform, Ansible with mature CI/CD pipelines
• Contribute to existing architecture and optimization of a highly utilized cloud infrastructure, ensuring scalability, security and efficiency
• Champion best practices in security and compliance, ensuring our infrastructure is resilient against threats and aligned with industry standards, safeguarding customer data and trust in our platform
• Ensure documentation for installation and troubleshooting
• Collaborate with cloud service providers to ensure the infrastructure is designed for optimal performance

You may be a good fit if you have:

• Bachelor's or advanced degree in Computer Science, Engineering, or related technical field.
• 5+ years of hands-on infrastructure deployment experience on AWS, Azure, GCP or any other cloud
• Deep knowledge of cloud infrastructure including Kubernetes, AWS, or Infrastructure as Code.
• Excellent communication and interpersonal skills.
• Participate in developing a strong culture of best practices within the team.
• Strong analytical and problem-solving skills, with attention to detail and the ability to navigate complex technical challenges.

Desired Experience

• Experience building Machine Learning solutions in the cloud
• Prior exposure building and operating a large-scale cloud-based infrastructure
• Experience developing infrastructure or applications with Go
• Experience in building and maintaining services on air-gapped environments
• Exposure to monitoring tools such as Prometheus, Grafana, EFK stack, etc.