DigitalOcean
1001 - 5000 employees
Founded 2011
☁️ SaaS
SaaS • Cloud Computing
DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.
Senior Director, Inference Products, Optimizations
🕒 July 16
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DigitalOcean
1001 - 5000 employees
Founded 2011
☁️ SaaS
SaaS • Cloud Computing
DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.
📋 Description
• Recruit, mentor, and coach engineers • Define and execute on the Product roadmap for DigitalOcean's Inference Products • Lead design and evolution of inference serving stack • Collaborate with Product Management and engineering teams • Ensure production health and stability of all systems • Institutionalize best practices for system and infrastructure tuning
🎯 Requirements
• 10+ years of software engineering experience • 6+ years in technical leadership or management role • Deep expertise in distributed systems design • Knowledge of modern AI/ML technologies • Experience with Kubernetes at scale • Understanding of cloud-native multi-region architectures • Familiarity with GPU architectures and hardware optimization • Strong systems engineering and security knowledge • Expertise in defining and tracking infrastructure metrics • Excellent communication and ownership skills
🏖️ Benefits
• Competitive salary • Flexible time off policy • Employee Assistance Program • Local Employee Meetups • Professional development resources and reimbursement for relevant conferences, training, and education • LinkedIn Learning access • Bonus potential based on performance • Equity compensation including equity grants and Employee Stock Purchase Program
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