
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.
July 6
🇺🇸 United States – Remote
💵 $150k - $180k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🧑💻 Full-stack Engineer
🚫👨🎓 No degree required
🦅 H1B Visa Sponsor

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.
• Drive large cross-functional projects independently to completion • Design and implement machine learning models and systems, focusing on integration with backend services using Go, and Python • Collaborate with product and engineering teams to build intuitive user interfaces using React and TypeScript, enabling end-users to interact with ML-powered features. • Maintain and develop the Go and GraphQL API • Ensure the reliability, scalability, and performance of ML systems by leveraging best practices in software engineering, data processing, and model deployment. • Stay current with advancements in machine learning and generative AI, and apply new techniques to enhance product capabilities and user experience
• Strong interest in development platforms, Data Engineering, MLOps, AI, CI/CD, infrastructure or making products for technical teams • Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs • 2+ years relevant industry experience in a fast-paced, high growth tech environment building UI component libraries, design systems, and tools using TypeScript • Demonstrated design and UX sensibilities • Knowledge of API standards including REST or GraphQL
• We innovate with purpose. • We prioritize career development. • We care about your well-being. • We reward our employees. • We value diversity and inclusion.
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